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Gurrea-Rubio M, Wang Q, Mills EA, Wu Q, Pitt D, Tsou PS, Fox DA, Mao-Draayer Y. Siponimod Attenuates Neuronal Cell Death Triggered by Neuroinflammation via NFκB and Mitochondrial Pathways. Int J Mol Sci 2024; 25:2454. [PMID: 38473703 PMCID: PMC10931690 DOI: 10.3390/ijms25052454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/05/2024] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
Abstract
Multiple sclerosis (MS) is the most common autoimmune demyelinating disease of the central nervous system (CNS), consisting of heterogeneous clinical courses varying from relapsing-remitting MS (RRMS), in which disability is linked to bouts of inflammation, to progressive disease such as primary progressive MS (PPMS) and secondary progressive MS (SPMS), in which neurological disability is thought to be linked to neurodegeneration. As a result, successful therapeutics for progressive MS likely need to have both anti-inflammatory and direct neuroprotective properties. The modulation of sphingosine-1-phosphate (S1P) receptors has been implicated in neuroprotection in preclinical animal models. Siponimod/BAF312, the first oral treatment approved for SPMS, may have direct neuroprotective benefits mediated by its activity as a selective (S1P receptor 1) S1P1 and (S1P receptor 5) S1P5 modulator. We showed that S1P1 was mainly present in cortical neurons in lesioned areas of the MS brain. To gain a better understanding of the neuroprotective effects of siponimod in MS, we used both rat neurons and human-induced pluripotent stem cell (iPSC)-derived neurons treated with the neuroinflammatory cytokine tumor necrosis factor-alpha (TNF-α). Cell survival/apoptotic assays using flow cytometry and IncuCyte live cell analyses showed that siponimod decreased TNF-α induced neuronal cell apoptosis in both rat and human iPSCs. Importantly, a transcriptomic analysis revealed that mitochondrial oxidative phosphorylation, NFκB and cytokine signaling pathways contributed to siponimod's neuroprotective effects. Our data suggest that the neuroprotection of siponimod/BAF312 likely involves the relief of oxidative stress in neuronal cells. Further studies are needed to explore the molecular mechanisms of such interactions to determine the relationship between mitochondrial dysfunction and neuroinflammation/neurodegeneration.
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Affiliation(s)
- Mikel Gurrea-Rubio
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; (M.G.-R.); (Q.W.); (P.-S.T.); (D.A.F.)
| | - Qin Wang
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (Q.W.)
- Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Elizabeth A. Mills
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (Q.W.)
| | - Qi Wu
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; (M.G.-R.); (Q.W.); (P.-S.T.); (D.A.F.)
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (Q.W.)
| | - David Pitt
- Department of Neurology, Yale Medicine, New Haven, CT 06473, USA;
| | - Pei-Suen Tsou
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; (M.G.-R.); (Q.W.); (P.-S.T.); (D.A.F.)
- Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - David A. Fox
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; (M.G.-R.); (Q.W.); (P.-S.T.); (D.A.F.)
- Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Yang Mao-Draayer
- Department of Neurology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (Q.W.)
- Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Multiple Sclerosis Center of Excellence, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA
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Bagnato F, Sati P, Hemond CC, Elliott C, Gauthier SA, Harrison DM, Mainero C, Oh J, Pitt D, Shinohara RT, Smith SA, Trapp B, Azevedo CJ, Calabresi PA, Henry RG, Laule C, Ontaneda D, Rooney WD, Sicotte NL, Reich DS, Absinta M. Imaging chronic active lesions in multiple sclerosis: a consensus statement. Brain 2024:awae013. [PMID: 38226694 DOI: 10.1093/brain/awae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 11/21/2023] [Accepted: 12/08/2023] [Indexed: 01/17/2024] Open
Abstract
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis (MS) and have implications for non-relapsing biological progression. In recent years, the discovery of innovative magnetic resonance imaging (MRI) and PET derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with MS, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted (T1-w) and T2-w scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL. While partially overlapping, these biomarkers do not have equivalent sensitivity and specificity to histopathological CAL. Standardization in the use of available imaging measures for CAL identification, quantification, and monitoring is lacking. To fast-forward clinical translation of CAL, the North American Imaging in Multiple Sclerosis Cooperative developed a Consensus Statement, which provides guidance for the radiological definition and measurement of CAL. The proposed manuscript presents this Consensus Statement, summarizes the multistep process leading to it, and identifies the remaining major gaps in knowledge.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
- Department of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37212, USA
| | - Pascal Sati
- Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048 USA
| | | | | | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, NYC, NY 10021, USA
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System; Baltimore, MD 21201, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON M5S, Canada
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Endeavor, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Bruce Trapp
- Department on Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90007, USA
| | - Peter A Calabresi
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Physics & Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH 44195, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR 97239, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Martina Absinta
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Translational Neuropathology Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and Hospital, Milan, 20132, Italy
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Huang X, Shang HL, Pitt D. Permutation entropy and its variants for measuring temporal dependence. AUST NZ J STAT 2022. [DOI: 10.1111/anzs.12376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Xin Huang
- Department of Actuarial Studies and Business Analytics Macquarie University Sydney NSW2109Australia
| | - Han Lin Shang
- Department of Actuarial Studies and Business Analytics Macquarie University Sydney NSW2109Australia
| | - David Pitt
- Department of Economics University of Melbourne Melbourne VIC3053Australia
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Pitt D, Lo CH, Gauthier SA, Hickman RA, Longbrake E, Airas LM, Mao-Draayer Y, Riley C, De Jager PL, Wesley S, Boster A, Topalli I, Bagnato F, Mansoor M, Stuve O, Kister I, Pelletier D, Stathopoulos P, Dutta R, Lincoln MR. Toward Precision Phenotyping of Multiple Sclerosis. Neurol Neuroimmunol Neuroinflamm 2022; 9:9/6/e200025. [PMID: 36041861 PMCID: PMC9427000 DOI: 10.1212/nxi.0000000000200025] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 02/07/2022] [Indexed: 11/15/2022]
Abstract
The classification of multiple sclerosis (MS) has been established by Lublin in 1996 and revised in 2013. The revision includes clinically isolated syndrome, relapsing-remitting, primary progressive and secondary progressive MS, and has added activity (i.e., formation of white matter lesions or clinical relapses) as a qualifier. This allows for the distinction between active and nonactive progression, which has been shown to be of clinical importance. We propose that a logical extension of this classification is the incorporation of additional key pathological processes, such as chronic perilesional inflammation, neuroaxonal degeneration, and remyelination. This will distinguish MS phenotypes that may present as clinically identical but are driven by different combinations of pathological processes. A more precise description of MS phenotypes will improve prognostication and personalized care as well as clinical trial design. Thus, our proposal provides an expanded framework for conceptualizing MS and for guiding development of biomarkers for monitoring activity along the main pathological axes in MS.
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Affiliation(s)
- David Pitt
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada.
| | - Chih Hung Lo
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Susan A Gauthier
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Richard A Hickman
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Erin Longbrake
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Laura M Airas
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Yang Mao-Draayer
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Claire Riley
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Philip Lawrence De Jager
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Sarah Wesley
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Aaron Boster
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Ilir Topalli
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Francesca Bagnato
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Mohammad Mansoor
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Olaf Stuve
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Ilya Kister
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Daniel Pelletier
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Panos Stathopoulos
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Ranjan Dutta
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
| | - Matthew R Lincoln
- From the Yale University (David Pitt, C.H.L., E.L., M.M., M.R.L.), New Haven; Nanyang Technological University (C.H.L.), Singapore; Weill Cornell Medicine (S.A.G.), New York; Memorial Sloan Kettering Cancer Center (R.A.H.), New York; University of Turku (L.M.A.), Finland; University of Michigan Medical School (Y.M.-D.), Ann Arbor; Columbia University Medical Center (C.R., P.L.D.J., S.W.), New York; The Boster Center for Multiple Sclerosis (A.B.), Columbus, OH; Cerneris Inc (I.T.), Wilmington, DE; Vanderbilt University Medical Center (F.B.), Nashville, TN; University of Texas Southwestern Medical Center (O.S.), Dallas; NYU Langone Medical Center (I.K.), New York; University of Southern California (Daniel Pelletier), Los Angeles; National and Kapodistrian University of Athens Medical School (P.S.), Greece; Cleveland Clinic Lerner College of Medicine (R.D.), Case Western Reserve University, OH; and University of Toronto and St. Michael's Hospital (M.L.), ON, Canada
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Manouchehri N, Shirani A, Salinas VH, Tardo L, Hussain RZ, Pitt D, Stuve O. Clinical trials in multiple sclerosis: past, present, and future. Neurol Neurochir Pol 2022; 56:228-235. [PMID: 35712986 DOI: 10.5603/pjnns.a2022.0041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 11/25/2022]
Abstract
For the past four decades, multiple sclerosis (MS) has been a focus for clinical trial development and execution. Advances in translational neuroimmunology have led to the development of effective disease-modifying therapies (DMTs) that greatly benefit patients with MS and mitigate their burden of disease. These achievements also stem from continued progress made in the definition and discovery of sensitive disease diagnostic criteria, objective disability assessment scales, precise imaging techniques, and disease-specific biomarkers. As a result, our knowledge of MS pathophysiology is more mature; the established clinical practice for the diagnosis and management of MS could serve as a roadmap to guide the development of more disease-specific interventions. In this article we briefly review the main achievements in the evolution of clinical trials for MS, and discuss opportunities for improvements.
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Affiliation(s)
- Navid Manouchehri
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Afsaneh Shirani
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States
| | - Victor H Salinas
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Lauren Tardo
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Rehana Z Hussain
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - David Pitt
- Department of Neurology, Yale University, New Haven, CT, United States
| | - Olaf Stuve
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, United States. .,Neurology Section, VA North Texas Health Care System, Dallas, TX, United States.
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Dimov AV, Gillen KM, Nguyen TD, Kang J, Sharma R, Pitt D, Gauthier SA, Wang Y. Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation. Tomography 2022; 8:1544-1551. [PMID: 35736875 PMCID: PMC9228115 DOI: 10.3390/tomography8030127] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 06/09/2022] [Accepted: 06/11/2022] [Indexed: 11/17/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) facilitates mapping of the bulk magnetic susceptibility of tissue from the phase of complex gradient echo (GRE) MRI data. QSM phase processing combined with an R2* model of magnitude of multiecho gradient echo data (R2*QSM) allows separation of dia- and para-magnetic components (e.g., myelin and iron) that contribute constructively to R2* value but destructively to the QSM value of a voxel. This R2*QSM technique is validated against quantitative histology—optical density of myelin basic protein and Perls’ iron histological stains of rim and core of 10 ex vivo multiple sclerosis lesions, as well as neighboring normal appearing white matter. We found that R2*QSM source maps are in good qualitative agreement with histology, e.g., showing increased iron concentration at the edge of the rim+ lesions and myelin loss in the lesions’ core. Furthermore, our results indicate statistically significant correlation between paramagnetic and diamagnetic tissue components estimated with R2*QSM and optical densities of Perls’ and MPB stains. These findings provide direct support for the use of R2*QSM magnetic source separation based solely on GRE complex data to characterize MS lesion composition.
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Affiliation(s)
- Alexey V. Dimov
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA; (A.V.D.); (K.M.G.); (T.D.N.); (J.K.); (R.S.)
| | - Kelly M. Gillen
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA; (A.V.D.); (K.M.G.); (T.D.N.); (J.K.); (R.S.)
| | - Thanh D. Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA; (A.V.D.); (K.M.G.); (T.D.N.); (J.K.); (R.S.)
| | - Jerry Kang
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA; (A.V.D.); (K.M.G.); (T.D.N.); (J.K.); (R.S.)
| | - Ria Sharma
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA; (A.V.D.); (K.M.G.); (T.D.N.); (J.K.); (R.S.)
| | - David Pitt
- Department of Neurology, Yale Medicine, New Haven, CT 06511, USA;
| | - Susan A. Gauthier
- Department of Neurology, Weill Cornell Medicine, New York, NY 10022, USA;
| | - Yi Wang
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA; (A.V.D.); (K.M.G.); (T.D.N.); (J.K.); (R.S.)
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
- Correspondence:
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7
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Dimov AV, Nguyen TD, Gillen KM, Marcille M, Spincemaille P, Pitt D, Gauthier SA, Wang Y. Susceptibility source separation from gradient echo data using magnitude decay modeling. J Neuroimaging 2022; 32:852-859. [PMID: 35668022 DOI: 10.1111/jon.13014] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE The objective is to demonstrate feasibility of separating magnetic sources in quantitative susceptibility mapping (QSM) by incorporating magnitude decay rates R 2 ∗ $R_2^{\rm{*}}$ in gradient echo (GRE) MRI. METHODS Magnetic susceptibility source separation was developed using R 2 ∗ $R_2^{\rm{*}}$ and compared with a prior method using R 2 ' = R 2 ∗ - R 2 ${R^{\prime}_2} = R_2^* - {R_2}$ that required an additional sequence to measure the transverse relaxation rate R2 . Both susceptibility separation methods were compared in multiple sclerosis (MS) patients (n = 17). Susceptibility values of negative sources estimated with R 2 ∗ $R_2^{\rm{*}}$ -based source separation in a set of enhancing MS lesions (n = 44) were correlated against longitudinal myelin water fraction (MWF) changes. RESULTS In in vivo data, linear regression of the estimated χ + ${\chi}^{+}$ and χ - ${\chi}^{-}$ susceptibility values between the R 2 ∗ $R_2^*$ - and the R 2 ' ${R^{\prime}_2}$ -based separation methods performed across 182 segmented lesions revealed correlation coefficient r = .96 and slope close .99. Correlation analysis in enhancing lesions revealed a significant positive association between the χ - ${\chi}^{-}$ increase at 1-year post-onset relative to 0 year and the MWF increase at 1 year relative to 0 year (β = -0.144, 95% confidence interval: [-0.199, -0.1], p = .0008) and good agreement between R 2 ' ${R^{\prime}_2}$ and R 2 ∗ $R_2^*$ methods (r = .79, slope = .95). CONCLUSIONS Separation of magnetic sources based solely on GRE complex data is feasible by combining magnitude decay rate modeling and phase-based QSM and χ - ${\chi}^{-}$ change may serve as a biomarker for myelin recovery or damage in acute MS lesions.
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Affiliation(s)
- Alexey V Dimov
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Thanh D Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Kelly M Gillen
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Melanie Marcille
- Department of Neurology, Weill Cornell Medicine, New York, New York, USA
| | | | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, New York, New York, USA
| | - Yi Wang
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
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Manouchehri N, Salinas VH, Rabi Yeganeh N, Pitt D, Hussain RZ, Stuve O. Efficacy of Disease Modifying Therapies in Progressive MS and How Immune Senescence May Explain Their Failure. Front Neurol 2022; 13:854390. [PMID: 35432156 PMCID: PMC9009145 DOI: 10.3389/fneur.2022.854390] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/18/2022] [Indexed: 12/11/2022] Open
Abstract
The advent of disease modifying therapies (DMT) in the past two decades has been the cornerstone of successful clinical management of multiple sclerosis (MS). Despite the great strides made in reducing the relapse frequency and occurrence of new signal changes on neuroimaging in patients with relapsing remitting MS (RRMS) by approved DMT, it has been challenging to demonstrate their effectiveness in non-active secondary progressive MS (SPMS) and primary progressive MS (PPMS) disease phenotypes. The dichotomy of DMT effectiveness between RRMS and progressive MS informs on distinct pathogeneses of the different MS phenotypes. Conversely, factors that render patients with progressive MS resistant to therapy are not understood. Thus far, age has emerged as the main correlate of the transition from RRMS to SPMS. Whether it is aging and age-related factors or the underlying immune senescence that qualitatively alter immune responses as the disease transitions to SPMS, that diminish DMT effectiveness, or both, is currently not known. Here, we will discuss the role of immune senescence on different arms of the immune system, and how it may explain relative DMT resistance.
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Affiliation(s)
- Navid Manouchehri
- Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Victor H. Salinas
- Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Negar Rabi Yeganeh
- Department of Radiopharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - David Pitt
- Department of Neurology, Yale University, New Haven, CT, United States
| | - Rehana Z. Hussain
- Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Olaf Stuve
- Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, United States
- Neurology Section, VA North Texas Health Care System, Medical Service Dallas, Veterans Affairs Medical Center, Dallas, TX, United States
- *Correspondence: Olaf Stuve
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Zinger N, Ponath G, Sweeney E, Nguyen TD, Lo CH, Diaz I, Dimov A, Teng L, Zexter L, Comunale J, Wang Y, Pitt D, Gauthier SA. Dimethyl Fumarate Reduces Inflammation in Chronic Active Multiple Sclerosis Lesions. Neurol Neuroimmunol Neuroinflamm 2022; 9:9/2/e1138. [PMID: 35046083 PMCID: PMC8771666 DOI: 10.1212/nxi.0000000000001138] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 12/10/2021] [Indexed: 12/14/2022]
Abstract
Background and Objectives To determine the effects of dimethyl fumarate (DMF) and glatiramer acetate on iron content in chronic active lesions in patients with multiple sclerosis (MS) and in human microglia in vitro. Methods This was a retrospective observational study of 34 patients with relapsing-remitting MS and clinically isolated syndrome treated with DMF or glatiramer acetate. Patients had lesions with hyperintense rims on quantitative susceptibility mapping, were treated with DMF or glatiramer acetate (GA), and had a minimum of 2 on-treatment scans. Changes in susceptibility in rim lesions were compared among treatment groups in a linear mixed effects model. In a separate in vitro study, induced pluripotent stem cell–derived human microglia were treated with DMF or GA, and treatment-induced changes in iron content and activation state of microglia were compared. Results Rim lesions in patients treated with DMF had on average a 2.77-unit reduction in susceptibility per year over rim lesions in patients treated with GA (bootstrapped 95% CI −5.87 to −0.01), holding all other variables constant. Moreover, DMF but not GA reduced inflammatory activation and concomitantly iron content in human microglia in vitro. Discussion Together, our data indicate that DMF-induced reduction of susceptibility in MS lesions is associated with a decreased activation state in microglial cells. We have demonstrated that a specific disease modifying therapy, DMF, decreases glial activity in chronic active lesions. Susceptibility changes in rim lesions provide an in vivo biomarker for the effect of DMF on microglial activity. Classification of Evidence This study provided Class III evidence that DMF is superior to GA in the presence of iron as a marker of inflammation as measured by MRI quantitative susceptibility mapping.
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Affiliation(s)
- Nicole Zinger
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Gerald Ponath
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Elizabeth Sweeney
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Thanh D Nguyen
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Chih Hung Lo
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Ivan Diaz
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Alexey Dimov
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Leilei Teng
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Lily Zexter
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Joseph Comunale
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Yi Wang
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - David Pitt
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore
| | - Susan A Gauthier
- From the Department of Neurology (N.Z., L.Z., S.A.G.), Weill Cornell Medicine, New York; Department of Neurology (G.P., C.H.L., D.P.), Yale School of Medicine, New Haven, CT; Department of Population Health Sciences (E.S., I.D.), and Department of Radiology (T.D.N., A.D., J.C., Y.W., S.A.G.), Weil Cornell Medicine, New York; Department of Medicine (L.T.), Yale New Haven Hospital, New Haven, CT; Feil Family Brain and Mind Institute (S.A.G.), Weill Cornell Medicine, New York; and Lee Kong Chian School of Medicine (C.H.L.), Nanyang Technological University, Singapore.
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Swanberg KM, Prinsen H, DeStefano K, Bailey M, Kurada AV, Pitt D, Fulbright RK, Juchem C. In vivo evidence of differential frontal cortex metabolic abnormalities in progressive and relapsing-remitting multiple sclerosis. NMR Biomed 2021; 34:e4590. [PMID: 34318959 DOI: 10.1002/nbm.4590] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 06/11/2021] [Accepted: 07/04/2021] [Indexed: 06/13/2023]
Abstract
The pathophysiology of progressive multiple sclerosis remains elusive, significantly limiting available disease-modifying therapies. Proton MRS (1 H-MRS) enables in vivo measurement of small molecules implicated in multiple sclerosis, but its application to key metabolites glutamate, γ-aminobutyric acid (GABA), and glutathione has been sparse. We employed, at 7 T, a previously validated 1 H-MRS protocol to measure glutamate, GABA, and glutathione, as well as glutamine, N-acetyl aspartate, choline, and myoinositol, in the frontal cortex of individuals with relapsing-remitting (N = 26) or progressive (N = 21) multiple sclerosis or healthy control adults (N = 25) in a cross-sectional analysis. Only individuals with progressive multiple sclerosis demonstrated reduced glutamate (F2,65 = 3.424, p = 0.04; 12.40 ± 0.62 mM versus control 13.17 ± 0.95 mM, p = 0.03) but not glutamine (F2,65 = 0.352, p = 0.7; 4.71 ± 0.35 mM versus control 4.84 ± 0.42 mM), reduced GABA (F2,65 = 3.89, p = 0.03; 1.29 ± 0.23 mM versus control 1.47 ± 0.25 mM, p = 0.05), and possibly reduced glutathione (F2,65 = 0.352, p = 0.056; 2.23 ± 0.46 mM versus control 2.51 ± 0.48 mM, p < 0.1). As a group, multiple sclerosis patients demonstrated significant negative correlations between disease duration and glutamate or GABA (ρ = -0.4, p = 0.02) but not glutamine or glutathione. Alone, only relapsing-remitting multiple sclerosis patients exhibited a significant negative correlation between disease duration and GABA (ρ = -0.5, p = 0.03). Taken together, these results indicate that frontal cortex metabolism is differentially disturbed in progressive and relapsing-remitting multiple sclerosis.
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Affiliation(s)
- Kelley M Swanberg
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
- Department of Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, New York
| | - Hetty Prinsen
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
| | - Katherine DeStefano
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Mary Bailey
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Abhinav V Kurada
- Department of Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, New York
| | - David Pitt
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
| | - Robert K Fulbright
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
| | - Christoph Juchem
- Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut
- Department of Biomedical Engineering, Columbia University School of Engineering and Applied Science, New York, New York
- Department of Neurology, Yale University School of Medicine, New Haven, Connecticut
- Department of Radiology, Columbia University Medical Center, New York, New York
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11
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Lo CH, Skarica M, Mansoor M, Bhandarkar S, Toro S, Pitt D. Astrocyte Heterogeneity in Multiple Sclerosis: Current Understanding and Technical Challenges. Front Cell Neurosci 2021; 15:726479. [PMID: 34456686 PMCID: PMC8385194 DOI: 10.3389/fncel.2021.726479] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 07/15/2021] [Indexed: 11/16/2022] Open
Abstract
The emergence of single cell technologies provides the opportunity to characterize complex immune/central nervous system cell assemblies in multiple sclerosis (MS) and to study their cell population structures, network activation and dynamics at unprecedented depths. In this review, we summarize the current knowledge of astrocyte subpopulations in MS tissue and discuss the challenges associated with resolving astrocyte heterogeneity with single-nucleus RNA-sequencing (snRNA-seq). We further discuss multiplexed imaging techniques as tools for defining population clusters within a spatial context. Finally, we will provide an outlook on how these technologies may aid in answering unresolved questions in MS, such as the glial phenotypes that drive MS progression and/or neuropathological differences between different clinical MS subtypes.
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Affiliation(s)
- Chih Hung Lo
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Mario Skarica
- Department of Neuroscience, Yale School of Medicine, New Haven, CT, United States
| | - Mohammad Mansoor
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Shaan Bhandarkar
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Steven Toro
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
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12
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Rui J, Deng S, Perdigoto AL, Ponath G, Kursawe R, Lawlor N, Sumida T, Levine-Ritterman M, Stitzel ML, Pitt D, Lu J, Herold KC. Tet2 Controls the Responses of β cells to Inflammation in Autoimmune Diabetes. Nat Commun 2021; 12:5074. [PMID: 34417463 PMCID: PMC8379260 DOI: 10.1038/s41467-021-25367-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 08/06/2021] [Indexed: 01/02/2023] Open
Abstract
β cells may participate and contribute to their own demise during Type 1 diabetes (T1D). Here we report a role of their expression of Tet2 in regulating immune killing. Tet2 is induced in murine and human β cells with inflammation but its expression is reduced in surviving β cells. Tet2-KO mice that receive WT bone marrow transplants develop insulitis but not diabetes and islet infiltrates do not eliminate β cells even though immune cells from the mice can transfer diabetes to NOD/scid recipients. Tet2-KO recipients are protected from transfer of disease by diabetogenic immune cells.Tet2-KO β cells show reduced expression of IFNγ-induced inflammatory genes that are needed to activate diabetogenic T cells. Here we show that Tet2 regulates pathologic interactions between β cells and immune cells and controls damaging inflammatory pathways. Our data suggests that eliminating TET2 in β cells may reduce activating pathologic immune cells and killing of β cells.
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Affiliation(s)
- Jinxiu Rui
- Departments of Immunobiology and Internal Medicine, Yale University, New Haven, CT, USA
| | - Songyan Deng
- Departments of Immunobiology and Internal Medicine, Yale University, New Haven, CT, USA
| | - Ana Luisa Perdigoto
- Departments of Immunobiology and Internal Medicine, Yale University, New Haven, CT, USA
| | - Gerald Ponath
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Romy Kursawe
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Nathan Lawlor
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Tomokazu Sumida
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | | | - Michael L Stitzel
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences and Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Jun Lu
- Department of Genetics, Yale University, New Haven, CT, USA
| | - Kevan C Herold
- Departments of Immunobiology and Internal Medicine, Yale University, New Haven, CT, USA.
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13
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Gillen KM, Mubarak M, Park C, Ponath G, Zhang S, Dimov A, Levine‐Ritterman M, Toro S, Huang W, Amici S, Kaunzner UW, Gauthier SA, Guerau‐de‐Arellano M, Wang Y, Nguyen TD, Pitt D. QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions. Ann Clin Transl Neurol 2021; 8:877-886. [PMID: 33704933 PMCID: PMC8045922 DOI: 10.1002/acn3.51338] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/18/2021] [Accepted: 02/22/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Inflammation in chronic active lesions occurs behind a closed blood-brain barrier and cannot be detected with MRI. Activated microglia are highly enriched for iron and can be visualized with quantitative susceptibility mapping (QSM), an MRI technique used to delineate iron. OBJECTIVE To characterize the histopathological correlates of different QSM hyperintensity patterns in MS lesions. METHODS MS brain slabs were imaged with MRI and QSM, and processed for histology. Immunolabeled cells were quantified in the lesion rim, center, and adjacent normal-appearing white matter (NAWM). Iron+ myeloid cell densities at the rims were correlated with susceptibilities. Human-induced pluripotent stem cell (iPSC)-derived microglia were used to determine the effect of iron on the production of reactive oxygen species (ROS) and pro-inflammatory cytokines. RESULTS QSM hyperintensity at the lesion perimeter correlated with activated iron+ myeloid cells in the rim and NAWM. Lesions with high punctate or homogenous QSM signal contained no or minimally activated iron- myeloid cells. In vitro, iron accumulation was highest in M1-polarized human iPSC-derived microglia, but it did not enhance ROS or cytokine production. CONCLUSION A high QSM signal outlining the lesion rim but not punctate signal in the center is a biomarker for chronic inflammation in white matter lesions.
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Affiliation(s)
- Kelly M. Gillen
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | - Mayyan Mubarak
- Department of NeurologyYale School of MedicineNew HavenConnecticutUSA
| | - Calvin Park
- Department of NeurologyYale School of MedicineNew HavenConnecticutUSA
| | - Gerald Ponath
- Department of NeurologyYale School of MedicineNew HavenConnecticutUSA
| | - Shun Zhang
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | - Alexey Dimov
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | | | - Steven Toro
- Department of NeurologyYale School of MedicineNew HavenConnecticutUSA
| | - Weiyuan Huang
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | - Stephanie Amici
- Department of NeuroscienceThe Ohio State UniversityColumbusOhioUSA
| | | | - Susan A. Gauthier
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA,Department of NeurologyWeill Cornell MedicineNew YorkNew YorkUSA
| | | | - Yi Wang
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | - Thanh D. Nguyen
- Department of RadiologyWeill Cornell MedicineNew YorkNew YorkUSA
| | - David Pitt
- Department of NeurologyYale School of MedicineNew HavenConnecticutUSA
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14
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Pitt D, Trück S, van den Honert R, Wong WW. Modeling risks from natural hazards with generalized additive models for location, scale and shape. J Environ Manage 2020; 275:111075. [PMID: 32861905 DOI: 10.1016/j.jenvman.2020.111075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 06/14/2020] [Accepted: 07/09/2020] [Indexed: 06/11/2023]
Abstract
We investigate a new framework for estimating the frequency and severity of losses associated with catastrophic risks such as bushfires, storms and floods. We explore generalized additive models for location, scale and shape (GAMLSS) for the quantification of regional risk factors - geographical, weather and climate variables - with the aim of better quantifying the frequency and severity of catastrophic losses from natural perils. Due to the flexibility of the GAMLSS approach, we find a superior fit to empirical loss data for the applied models in comparison to generalized linear regression models typically applied in the literature. In particular the generalized beta distribution of the second kind (GB2) provides a good fit to the severity of losses. Including covariates in the calibration of the scale parameter, we obtain vastly differently shaped distributions for the predicted individual losses at different levels of the covariates. Testing the GAMLSS approach in an out-of-sample validation exercise, we also find support for a correct specification of the estimated models. More accurate models for the losses from natural hazards will help state and local government policy development, in particular for risk management and scenario planning for emergency services with respect to these perils.
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Affiliation(s)
- David Pitt
- Macquarie University, Sydney, NSW 2109, Australia
| | - Stefan Trück
- Macquarie University, Sydney, NSW 2109, Australia.
| | | | - Wan Wah Wong
- Macquarie University, Sydney, NSW 2109, Australia
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15
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Lucca LE, Lerner BA, Park C, DeBartolo D, Harnett B, Kumar VP, Ponath G, Raddassi K, Huttner A, Hafler DA, Pitt D. Differential expression of the T-cell inhibitor TIGIT in glioblastoma and MS. Neurol Neuroimmunol Neuroinflamm 2020; 7:e712. [PMID: 32269065 PMCID: PMC7188477 DOI: 10.1212/nxi.0000000000000712] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 02/07/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To identify coinhibitory immune pathways important in the brain, we hypothesized that comparison of T cells in lesions from patients with MS with tumor-infiltrating T cells (TILs) from patients with glioblastoma multiforme may reveal novel targets for immunotherapy. METHODS We collected fresh surgical resections and matched blood from patients with glioblastoma, blood and unmatched postmortem CNS tissue from patients with MS, and blood from healthy donors. The expression of TIGIT, CD226, and their shared ligand CD155 as well as PD-1 and PDL1 was assessed by both immunohistochemistry and flow cytometry. RESULTS We found that TIGIT was highly expressed on glioblastoma-infiltrating T cells, but was near-absent from MS lesions. Conversely, lymphocytic expression of PD-1/PD-L1 was comparable between the 2 diseases. Moreover, TIGIT was significantly upregulated in circulating lymphocytes of patients with glioblastoma compared with healthy controls, suggesting recirculation of TILs. Expression of CD226 was also increased in glioblastoma, but this costimulatory receptor was expressed alongside TIGIT in the majority of tumor-infiltrating T cells, suggesting functional counteraction. CONCLUSIONS The opposite patterns of TIGIT expression in the CNS between MS and glioblastoma reflects the divergent features of the immune response in these 2 CNS diseases. These data raise the possibility that anti-TIGIT therapy may be beneficial for patients with glioblastoma.
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Affiliation(s)
- Liliana E Lucca
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Benjamin A Lerner
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Calvin Park
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Danielle DeBartolo
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Brian Harnett
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Varun P Kumar
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Gerald Ponath
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Khadir Raddassi
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - Anita Huttner
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - David A Hafler
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT
| | - David Pitt
- From the Departments of Neurology (L.E.L., B.A.L., C.P., D.D., B.H., V.P.K., G.P., K.R., D.A.H., D.P.); Immunobiology (L.E.L., B.A.L., B.H., K.R., D.A.H.); and Pathology (A.H.), Yale School of Medicine, New Haven, CT.
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16
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Swanberg KM, Landheer K, Pitt D, Juchem C. Quantifying the Metabolic Signature of Multiple Sclerosis by in vivo Proton Magnetic Resonance Spectroscopy: Current Challenges and Future Outlook in the Translation From Proton Signal to Diagnostic Biomarker. Front Neurol 2019; 10:1173. [PMID: 31803127 PMCID: PMC6876616 DOI: 10.3389/fneur.2019.01173] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 10/21/2019] [Indexed: 01/03/2023] Open
Abstract
Proton magnetic resonance spectroscopy (1H-MRS) offers a growing variety of methods for querying potential diagnostic biomarkers of multiple sclerosis in living central nervous system tissue. For the past three decades, 1H-MRS has enabled the acquisition of a rich dataset suggestive of numerous metabolic alterations in lesions, normal-appearing white matter, gray matter, and spinal cord of individuals with multiple sclerosis, but this body of information is not free of seeming internal contradiction. The use of 1H-MRS signals as diagnostic biomarkers depends on reproducible and generalizable sensitivity and specificity to disease state that can be confounded by a multitude of influences, including experiment group classification and demographics; acquisition sequence; spectral quality and quantifiability; the contribution of macromolecules and lipids to the spectroscopic baseline; spectral quantification pipeline; voxel tissue and lesion composition; T1 and T2 relaxation; B1 field characteristics; and other features of study design, spectral acquisition and processing, and metabolite quantification about which the experimenter may possess imperfect or incomplete information. The direct comparison of 1H-MRS data from individuals with and without multiple sclerosis poses a special challenge in this regard, as several lines of evidence suggest that experimental cohorts may differ significantly in some of these parameters. We review the existing findings of in vivo1H-MRS on central nervous system metabolic abnormalities in multiple sclerosis and its subtypes within the context of study design, spectral acquisition and processing, and metabolite quantification and offer an outlook on technical considerations, including the growing use of machine learning, by future investigations into diagnostic biomarkers of multiple sclerosis measurable by 1H-MRS.
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Affiliation(s)
- Kelley M Swanberg
- Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, NY, United States
| | - Karl Landheer
- Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, NY, United States
| | - David Pitt
- Department of Neurology, Yale University School of Medicine, New Haven, CT, United States
| | - Christoph Juchem
- Department of Biomedical Engineering, Columbia University Fu Foundation School of Engineering and Applied Science, New York, NY, United States.,Department of Radiology, Columbia University College of Physicians and Surgeons, New York, NY, United States
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17
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Park C, Ponath G, Levine-Ritterman M, Bull E, Swanson EC, De Jager PL, Segal BM, Pitt D. The landscape of myeloid and astrocyte phenotypes in acute multiple sclerosis lesions. Acta Neuropathol Commun 2019; 7:130. [PMID: 31405387 PMCID: PMC6689891 DOI: 10.1186/s40478-019-0779-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 07/23/2019] [Indexed: 02/06/2023] Open
Abstract
Activated myeloid cells and astrocytes are the predominant cell types in active multiple sclerosis (MS) lesions. Both cell types can adopt diverse functional states that play critical roles in lesion formation and resolution. In order to identify phenotypic subsets of myeloid cells and astrocytes, we profiled two active MS lesions with thirteen glial activation markers using imaging mass cytometry (IMC), a method for multiplexed labeling of histological sections. In the acutely demyelinating lesion, we found multiple distinct myeloid and astrocyte phenotypes that populated separate lesion zones. In the post-demyelinating lesion, phenotypes were less distinct and more uniformly distributed. In both lesions cell-to-cell interactions were not random, but occurred between specific glial subpopulations and lymphocytes. Finally, we demonstrated that myeloid, but not astrocyte phenotypes were activated along a lesion rim-to-center gradient, and that marker expression in glial cells at the lesion rim was driven more by cell-extrinsic factors than in cells at the center. This proof-of-concept study demonstrates that highly multiplexed tissue imaging, combined with the appropriate computational tools, is a powerful approach to study heterogeneity, spatial distribution and cellular interactions in the context of MS lesions. Identifying glial phenotypes and their interactions at different lesion stages may provide novel therapeutic targets for inhibiting acute demyelination and low-grade, chronic inflammation.
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Affiliation(s)
- Calvin Park
- Department of Neurology, Yale School of Medicine, 300 George Street, Suite 353I, New Haven, CT 06511 USA
| | - Gerald Ponath
- Department of Neurology, Yale School of Medicine, 300 George Street, Suite 353I, New Haven, CT 06511 USA
| | - Maya Levine-Ritterman
- Department of Neurology, Yale School of Medicine, 300 George Street, Suite 353I, New Haven, CT 06511 USA
| | - Edward Bull
- Department of Neurology, Yale School of Medicine, 300 George Street, Suite 353I, New Haven, CT 06511 USA
| | | | - Philip L. De Jager
- Department of Neurology, Columbia University Medical Center, New York, NY USA
| | | | - David Pitt
- Department of Neurology, Yale School of Medicine, 300 George Street, Suite 353I, New Haven, CT 06511 USA
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18
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Ramaglia V, Sheikh-Mohamed S, Legg K, Park C, Rojas OL, Zandee S, Fu F, Ornatsky O, Swanson EC, Pitt D, Prat A, McKee TD, Gommerman JL. Multiplexed imaging of immune cells in staged multiple sclerosis lesions by mass cytometry. eLife 2019; 8:48051. [PMID: 31368890 PMCID: PMC6707785 DOI: 10.7554/elife.48051] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 08/01/2019] [Indexed: 01/19/2023] Open
Abstract
Multiple sclerosis (MS) is characterized by demyelinated and inflammatory lesions in the brain and spinal cord that are highly variable in terms of cellular content. Here, we used imaging mass cytometry (IMC) to enable the simultaneous imaging of 15+ proteins within staged MS lesions. To test the potential for IMC to discriminate between different types of lesions, we selected a case with severe rebound MS disease activity after natalizumab cessation. With post-acquisition analysis pipelines we were able to: (1) Discriminate demyelinating macrophages from the resident microglial pool; (2) Determine which types of lymphocytes reside closest to blood vessels; (3) Identify multiple subsets of T and B cells, and (4) Ascertain dynamics of T cell phenotypes vis-à-vis lesion type and location. We propose that IMC will enable a comprehensive analysis of single-cell phenotypes, their functional states and cell-cell interactions in relation to lesion morphometry and demyelinating activity in MS patients. It takes an army of immune cells to defend the body against infection. But sometimes the body’s immune system mistakenly attacks its own cells and chronic inflammatory conditions develop. In multiple sclerosis – also known as “MS” – a horde of immune cells infiltrate the brain and spinal cord, forming lesions which strip nerve cells of their insultation, a protective fatty material called myelin. Nerve cells become damaged, scarred and exposed, and this interferes with messages between the brain and other parts of the body. Advanced imaging techniques have revolutionized the diagnosis of multiple sclerosis by capturing lesions as they develop in the brain and spinal cord. Researchers have also focused their efforts on understanding how immune cells activated in the blood stream invade the central nervous system. To better understand how a mistaken immune response leads to nerve damage in multiple sclerosis, a forensic examination of which immune cells accumulate in brain tissue to form lesions is needed. Standard techniques for analyzing whole tissue samples are however limited by design, capable of detecting only a few cell markers in one section of tissue. Ramaglia et al. have now validated a new imaging technique for looking at an array of cell types in brain tissue in a single sample. The technique – called imaging mass cytometry (or IMC for short) – was used to look at post-mortem brain tissue from a multiple sclerosis patient with an acute form of the illness. The tissue examined had multiple sclerosis lesions present. Different types of immune cells were simultaneously identified and characterized using a panel of antibodies which recognize the signature proteins each immune cell makes when active. The state of the underlying myelin content of the tissue was also characterized. The imaging approach could distinguish between the immune cells of the brain (known as resident microglia) and a type of white blood cell summoned as part of the immune response (infiltrating macrophages). The analysis showed that, in the particular patient examined, microglia are abundant in active lesions in multiple sclerosis; also, different subsets of white blood cells were detected. Measuring how far different immune cells had migrated from nearby blood vessels added insights as to how immune cells move through the brain and which cells may have arrived first. Altogether, Ramaglia et al. have shown that IMC can be used as a discovery tool to gain a deeper understanding of multiple sclerosis lesions and immune cells active in the inflamed brain. Further work will apply this now validated imaging approach to large cohorts of multiple sclerosis patients.
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Affiliation(s)
- Valeria Ramaglia
- Department of Immunology, University of Toronto, Toronto, Canada
| | | | - Karen Legg
- Department of Immunology, University of Toronto, Toronto, Canada
| | - Calvin Park
- Department of Neurology, Yale School of Medicine, New Haven, United States
| | - Olga L Rojas
- Department of Immunology, University of Toronto, Toronto, Canada
| | - Stephanie Zandee
- Department of Neuroscience, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Fred Fu
- STTARR Innovation Centre, University Health Network, Toronto, Canada
| | | | | | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, United States
| | - Alexandre Prat
- Department of Neuroscience, Faculty of Medicine, Université de Montréal, Montreal, Canada
| | - Trevor D McKee
- STTARR Innovation Centre, University Health Network, Toronto, Canada
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19
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Lim W, Khemka G, Pitt D, Browne B. A method for calculating the implied no-recovery three-state transition matrix using observable population mortality incidence and disability prevalence rates among the elderly. J Pop Research 2019. [DOI: 10.1007/s12546-019-09226-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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20
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Kaunzner UW, Kang Y, Zhang S, Morris E, Yao Y, Pandya S, Hurtado Rua SM, Park C, Gillen KM, Nguyen TD, Wang Y, Pitt D, Gauthier SA. Quantitative susceptibility mapping identifies inflammation in a subset of chronic multiple sclerosis lesions. Brain 2019; 142:133-145. [PMID: 30561514 PMCID: PMC6308309 DOI: 10.1093/brain/awy296] [Citation(s) in RCA: 106] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 05/21/2018] [Accepted: 10/03/2018] [Indexed: 12/30/2022] Open
Abstract
Chronic active multiple sclerosis lesions, characterized by a hyperintense rim of iron-enriched, activated microglia and macrophages, have been linked to greater tissue damage. Post-mortem studies have determined that chronic active lesions are primarily related to the later stages of multiple sclerosis; however, the occurrence of these lesions, and their relationship to earlier disease stages may be greatly underestimated. Detection of chronic active lesions across the patient spectrum of multiple sclerosis requires a validated imaging tool to accurately identify lesions with persistent inflammation. Quantitative susceptibility mapping provides efficient in vivo quantification of susceptibility changes related to iron deposition and the potential to identify lesions harbouring iron-laden inflammatory cells. The PET tracer 11C-PK11195 targets the translocator protein expressed by activated microglia and infiltrating macrophages. Accordingly, this study aimed to validate that lesions with a hyperintense rim on quantitative susceptibility mapping from both relapsing and progressive patients demonstrate a higher level of innate immune activation as measured on 11C-PK11195 PET. Thirty patients were enrolled in this study, 24 patients had relapsing remitting multiple sclerosis, six had progressive multiple sclerosis, and all patients had concomitant MRI with a gradient echo sequence and PET with 11C-PK11195. A total of 406 chronic lesions were detected, and 43 chronic lesions with a hyperintense rim on quantitative susceptibility mapping were identified as rim+ lesions. Susceptibility (relative to CSF) was higher in rim+ (2.42 ± 17.45 ppb) compared to rim- lesions (-14.6 ± 19.3 ppb, P < 0.0001). Among rim+ lesions, susceptibility within the rim (20.04 ± 14.28 ppb) was significantly higher compared to the core (-5.49 ± 14.44 ppb, P < 0.0001), consistent with the presence of iron. In a mixed-effects model, 11C-PK11195 uptake, representing activated microglia/macrophages, was higher in rim+ lesions compared to rim- lesions (P = 0.015). Validating our in vivo imaging results, multiple sclerosis brain slabs were imaged with quantitative susceptibility mapping and processed for immunohistochemistry. These results showed a positive translocator protein signal throughout the expansive hyperintense border of rim+ lesions, which co-localized with iron containing CD68+ microglia and macrophages. In conclusion, this study provides evidence that suggests that a hyperintense rim on quantitative susceptibility measure within a chronic lesion is a correlate for persistent inflammatory activity and that these lesions can be identified in the relapsing patients. Utilizing quantitative susceptibility measure to differentiate chronic multiple sclerosis lesion subtypes, especially chronic active lesions, would provide a method to assess the impact of these lesions on disease progression.
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Affiliation(s)
- Ulrike W Kaunzner
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York City, NY, USA
| | - Yeona Kang
- Department of Radiology/Nuclear Medicine, Weill Cornell Medicine, New York City, NY, USA
| | - Shun Zhang
- Cornell MRI Research Lab, New York City, NY, USA
| | - Eric Morris
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York City, NY, USA
| | - Yihao Yao
- Cornell MRI Research Lab, New York City, NY, USA
| | - Sneha Pandya
- Department of Radiology/Nuclear Medicine, Weill Cornell Medicine, New York City, NY, USA
| | - Sandra M Hurtado Rua
- Department of Mathematics, College of Sciences and Health Professions, Cleveland State University, Cleveland, OH, USA
| | - Calvin Park
- Yale Multiple Sclerosis Center, New Haven, CT, USA
| | | | | | - Yi Wang
- Cornell MRI Research Lab, New York City, NY, USA
| | - David Pitt
- Yale Multiple Sclerosis Center, New Haven, CT, USA
| | - Susan A Gauthier
- Judith Jaffe Multiple Sclerosis Center, Weill Cornell Medicine, New York City, NY, USA
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21
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Ponath G, Lincoln MR, Levine-Ritterman M, Park C, Dahlawi S, Mubarak M, Sumida T, Airas L, Zhang S, Isitan C, Nguyen TD, Raine CS, Hafler DA, Pitt D. Enhanced astrocyte responses are driven by a genetic risk allele associated with multiple sclerosis. Nat Commun 2018; 9:5337. [PMID: 30559390 PMCID: PMC6297228 DOI: 10.1038/s41467-018-07785-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 11/24/2018] [Indexed: 12/22/2022] Open
Abstract
Epigenetic annotation studies of genetic risk variants for multiple sclerosis (MS) implicate dysfunctional lymphocytes in MS susceptibility; however, the role of central nervous system (CNS) cells remains unclear. We investigated the effect of the risk variant, rs7665090G, located near NFKB1, on astrocytes. We demonstrated that chromatin is accessible at the risk locus, a prerequisite for its impact on astroglial function. The risk variant was associated with increased NF-κB signaling and target gene expression, driving lymphocyte recruitment, in cultured human astrocytes and astrocytes within MS lesions, and with increased lesional lymphocytic infiltrates and lesion sizes. Thus, our study establishes a link between genetic risk for MS (rs7665090G) and dysfunctional astrocyte responses associated with increased CNS access for peripheral immune cells. MS may therefore result from variant-driven dysregulation of the peripheral immune system and of the CNS, where perturbed CNS cell function aids in establishing local autoimmune inflammation. It is unclear if multiple sclerosis (MS) genetic susceptibility can be mediated through perturbations of CNS-intrinsic pathways. Authors show that the rs7665090 risk variant is associated with astrocyte responses that enhance lymphocyte recruitment, and with increased lymphocyte infiltration and lesion sizes in MS lesions.
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Affiliation(s)
- Gerald Ponath
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Matthew R Lincoln
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, 06511, USA.,Broad Institute of MIT and Harvard University, Cambridge, MA, 02141, USA
| | | | - Calvin Park
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Somiah Dahlawi
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Mayyan Mubarak
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Tomokazu Sumida
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, 06511, USA.,Broad Institute of MIT and Harvard University, Cambridge, MA, 02141, USA
| | - Laura Airas
- Division of Clinical Neurosciences, University of Turku, Turku, 20520, Finland
| | - Shun Zhang
- Department of Radiology, Weill Cornell Medical College, New York, NY, 10021, USA
| | - Cigdem Isitan
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Thanh D Nguyen
- Department of Radiology, Weill Cornell Medical College, New York, NY, 10021, USA
| | - Cedric S Raine
- Department of Pathology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - David A Hafler
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, 06511, USA.,Broad Institute of MIT and Harvard University, Cambridge, MA, 02141, USA
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT, 06511, USA.
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22
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Affiliation(s)
- David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Gerald Ponath
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
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23
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Deh K, Ponath GD, Molvi Z, Parel GCT, Gillen KM, Zhang S, Nguyen TD, Spincemaille P, Ma Y, Gupta A, Gauthier SA, Pitt D, Wang Y. Magnetic susceptibility increases as diamagnetic molecules breakdown: Myelin digestion during multiple sclerosis lesion formation contributes to increase on QSM. J Magn Reson Imaging 2018; 48:1281-1287. [PMID: 29517817 PMCID: PMC6129234 DOI: 10.1002/jmri.25997] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 02/12/2018] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The pathological processes in the first weeks of multiple sclerosis (MS) lesion formation include myelin digestion that breaks chemical bonds in myelin lipid layers. This can increase lesion magnetic susceptibility, which is a potentially useful biomarker in MS patient management, but not yet investigated. PURPOSE To understand and quantify the effects of myelin digestion on quantitative susceptibility mapping (QSM) of MS lesions. STUDY TYPE Histological and QSM analyses on in vitro models of myelin breakdown and MS lesion formation in vivo. POPULATION/SPECIMENS Acutely demyelinating white matter lesions from MS autopsy tissue were stained with the lipid dye oil red O. Myelin basic protein (MBP), a major membrane protein of myelin, was digested with trypsin. Purified human myelin was denatured with sodium dodecyl sulfate (SDS). QSM was performed on phantoms containing digestion products and untreated controls. In vivo QSM was performed on five MS patients with newly enhancing lesions, and then repeated within 2 weeks. FIELD STRENGTH/SEQUENCE 3D <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msubsup><mml:mi>T</mml:mi> <mml:mn>2</mml:mn> <mml:mo>*</mml:mo></mml:msubsup> </mml:mrow> </mml:math> -weighted spoiled multiecho gradient echo scans performed at 3T. ASSESSMENT Region of interest analyses were performed by a biochemist and a neuroradiologist to determine susceptibility changes on in vitro and in vivo QSM images. STATISTICAL TESTS Not applicable. RESULTS MBP degradation by trypsin increased the QSM measurement by an average of 112 ± 37 ppb, in excellent agreement with a theoretical estimate of 111 ppb. Degradation of human myelin by SDS increased the QSM measurement by 23 ppb. As MS lesions changed from gadolinium enhancing to nonenhancing over an average of 15.8 ± 3.7 days, their susceptibility increased by an average of 7.5 ± 6.3 ppb. DATA CONCLUSION Myelin digestion in the early stages of MS lesion formation contributes to an increase in tissue susceptibility, detectable by QSM, as a lesion evolves from gadolinium enhancing to nonenhancing. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2018;47:1281-1287.
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Affiliation(s)
- Kofi Deh
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Gerald D Ponath
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Zaki Molvi
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Gian-Carlo T Parel
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Kelly M Gillen
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Shun Zhang
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Thanh D Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | | | - Yinghua Ma
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Ajay Gupta
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, New York, New York, USA
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Yi Wang
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA.,Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
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24
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Abstract
The role traditionally assigned to astrocytes in the pathogenesis of multiple sclerosis (MS) lesions has been the formation of the glial scar once inflammation has subsided. Astrocytes are now recognized to be early and highly active players during lesion formation and key for providing peripheral immune cells access to the central nervous system. Here, we review the role of astrocytes in the formation and evolution of MS lesions, including the recently described functional polarization of astrocytes, discuss prototypical pathways for astrocyte activation, and summarize mechanisms by which MS treatments affect astrocyte function.
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Affiliation(s)
- Gerald Ponath
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Calvin Park
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
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25
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Abstract
Microglia are resident immune cells that fulfill protective and homeostatic functions in the central nervous system (CNS) but may also promote neurotoxicity in the aged brain and in chronic disease. In multiple sclerosis (MS), an autoimmune demyelinating disease of the CNS, microglia and macrophages contribute to the development of white matter lesions through myelin phagocytosis, and possibly to disease progression through diffuse activation throughout myelinated white matter. In this review, we discuss an additional compartment of myeloid cell activation in MS, i.e., the rim and normal adjacent white matter of chronic active lesions. In chronic active lesions, microglia and macrophages may contain high amounts of iron, express markers of proinflammatory polarization, are activated for an extended period of time (years), and drive chronic tissue damage. Iron-positive myeloid cells can be visualized and quantified with quantitative susceptibility mapping (QSM), a magnetic resonance imaging technique. Thus, QSM has potential as an in vivo biomarker for chronic inflammatory activity in established white matter MS lesions. Reducing chronic inflammation associated with iron accumulation using existing or novel MS therapies may impact disease severity and progression.
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Affiliation(s)
- Kelly M Gillen
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - Mayyan Mubarak
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Thanh D Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, NY, United States
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
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26
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Giles DA, Washnock-Schmid JM, Duncker PC, Dahlawi S, Ponath G, Pitt D, Segal BM. Myeloid cell plasticity in the evolution of central nervous system autoimmunity. Ann Neurol 2018; 83:131-141. [PMID: 29283442 DOI: 10.1002/ana.25128] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 12/22/2017] [Accepted: 12/26/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Myeloid cells, including macrophages and dendritic cells, are a prominent component of central nervous system (CNS) infiltrates during multiple sclerosis (MS) and the animal model experimental autoimmune encephalomyelitis (EAE). Although myeloid cells are generally thought to be proinflammatory, alternatively polarized subsets can serve noninflammatory and/or reparative functions. Here we investigate the heterogeneity and biological properties of myeloid cells during central nervous system autoimmunity. METHODS Myeloid cell phenotypes in chronic active MS lesions were analyzed by immunohistochemistry. In addition, immune cells were isolated from the CNS during exacerbations and remissions of EAE and characterized by flow cytometric, genetic, and functional assays. RESULTS Myeloid cells expressing inducible nitric oxide synthase (iNOS), indicative of a proinflammatory phenotype, were detected in the actively demyelinating rim of chronic active MS lesions, whereas macrophages expressing mannose receptor (CD206), a marker of alternatively polarized human myeloid cells, were enriched in the quiescent lesion core. During EAE, CNS-infiltrating myeloid cells, as well as microglia, shifted from expression of proinflammatory markers to expression of noninflammatory markers immediately prior to clinical remissions. Murine CNS myeloid cells expressing the alternative lineage marker arginase-1 (Arg1) were partially derived from iNOS+ precursors and were deficient in activating encephalitogenic T cells compared with their Arg1- counterparts. INTERPRETATION These observations demonstrate the heterogeneity of CNS myeloid cells, their evolution during the course of autoimmune demyelinating disease, and their plasticity on the single cell level. Future therapeutic strategies for disease modification in individuals with MS may be focused on accelerating the transition of CNS myeloid cells from a proinflammatory to a noninflammatory phenotype. Ann Neurol 2018;83:131-141.
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Affiliation(s)
- David A Giles
- Holtom-Garrett Program in Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI.,Graduate Program in Immunology, University of Michigan, Ann Arbor, MI.,Medical Scientist Training Program, University of Michigan, Ann Arbor, MI
| | - Jesse M Washnock-Schmid
- Holtom-Garrett Program in Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI
| | - Patrick C Duncker
- Holtom-Garrett Program in Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI.,Graduate Program in Immunology, University of Michigan, Ann Arbor, MI
| | - Somiah Dahlawi
- Department of Neurology, School of Medicine, Yale University, New Haven, CT
| | - Gerald Ponath
- Department of Neurology, School of Medicine, Yale University, New Haven, CT
| | - David Pitt
- Department of Neurology, School of Medicine, Yale University, New Haven, CT
| | - Benjamin M Segal
- Holtom-Garrett Program in Neuroimmunology, Department of Neurology, University of Michigan, Ann Arbor, MI.,Graduate Program in Immunology, University of Michigan, Ann Arbor, MI.,Neurology Service, VA Ann Arbor Healthcare System, Ann Arbor, MI
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27
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Nylander AN, Ponath GD, Axisa PP, Mubarak M, Tomayko M, Kuchroo VK, Pitt D, Hafler DA. Podoplanin is a negative regulator of Th17 inflammation. JCI Insight 2017; 2:92321. [PMID: 28878118 DOI: 10.1172/jci.insight.92321] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 08/03/2017] [Indexed: 01/02/2023] Open
Abstract
Recent data indicate that there are different subpopulations of Th17 cells that can express a regulatory as opposed to an inflammatory gene signature. The transmembrane glycoprotein PDPN is critical in the development of multiple organs including the lymphatic system and has been described on T cells in mouse models of autoimmune Th17 inflammation. Here, we demonstrate that unlike in mice, PDPN+ T cells induced under classic Th17-polarizing conditions express transcription factors associated with Th17 cells but do not produce IL-17. Moreover, these cells express a transcriptional profile enriched for immunosuppressive and regulatory pathways and express a distinct cytokine profile compared with potentially pathogenic PDPN- Th17 cells. Ligation of PDPN by its ligand CLEC-2 ameliorates the Th17 inflammatory response. IL-17 secretion is restored with shRNA gene silencing of PDPN. Furthermore, PDPN expression is reduced via an Sgk1-mediated pathway under proinflammatory, high sodium chloride conditions. Finally, CD3+PDPN+ T cells are devoid of IL-17 in skin biopsies from patients with candidiasis, a prototypical Th17-driven skin disease. Thus, our data support the hypothesis that PDPN may serve as a marker of a nonpathogenic Th17 cell subset and may also functionally regulate pathogenic Th17 inflammation.
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Affiliation(s)
- Alyssa N Nylander
- Department of Neurology.,Interdepartmental Neuroscience Program.,Department of Immunobiology, and
| | | | | | | | - Mary Tomayko
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Vijay K Kuchroo
- Evergrande Center for Immunologic Diseases, Harvard Medical School, Boston, Massachusetts, USA
| | | | - David A Hafler
- Department of Neurology.,Interdepartmental Neuroscience Program.,Department of Immunobiology, and
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28
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Wang Y, Spincemaille P, Liu Z, Dimov A, Deh K, Li J, Zhang Y, Yao Y, Gillen KM, Wilman AH, Gupta A, Tsiouris AJ, Kovanlikaya I, Chiang GCY, Weinsaft JW, Tanenbaum L, Chen W, Zhu W, Chang S, Lou M, Kopell BH, Kaplitt MG, Devos D, Hirai T, Huang X, Korogi Y, Shtilbans A, Jahng GH, Pelletier D, Gauthier SA, Pitt D, Bush AI, Brittenham GM, Prince MR. Clinical quantitative susceptibility mapping (QSM): Biometal imaging and its emerging roles in patient care. J Magn Reson Imaging 2017; 46:951-971. [PMID: 28295954 DOI: 10.1002/jmri.25693] [Citation(s) in RCA: 171] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 02/10/2017] [Indexed: 12/13/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) has enabled magnetic resonance imaging (MRI) of tissue magnetic susceptibility to advance from simple qualitative detection of hypointense blooming artifacts to precise quantitative measurement of spatial biodistributions. QSM technology may be regarded to be sufficiently developed and validated to warrant wide dissemination for clinical applications of imaging isotropic susceptibility, which is dominated by metals in tissue, including iron and calcium. These biometals are highly regulated as vital participants in normal cellular biochemistry, and their dysregulations are manifested in a variety of pathologic processes. Therefore, QSM can be used to assess important tissue functions and disease. To facilitate QSM clinical translation, this review aims to organize pertinent information for implementing a robust automated QSM technique in routine MRI practice and to summarize available knowledge on diseases for which QSM can be used to improve patient care. In brief, QSM can be generated with postprocessing whenever gradient echo MRI is performed. QSM can be useful for diseases that involve neurodegeneration, inflammation, hemorrhage, abnormal oxygen consumption, substantial alterations in highly paramagnetic cellular iron, bone mineralization, or pathologic calcification; and for all disorders in which MRI diagnosis or surveillance requires contrast agent injection. Clinicians may consider integrating QSM into their routine imaging practices by including gradient echo sequences in all relevant MRI protocols. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2017;46:951-971.
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Affiliation(s)
- Yi Wang
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA.,Department of Biomedical Engineering, Ithaca, New York, USA
| | - Pascal Spincemaille
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Zhe Liu
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA.,Department of Biomedical Engineering, Ithaca, New York, USA
| | - Alexey Dimov
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA.,Department of Biomedical Engineering, Ithaca, New York, USA
| | - Kofi Deh
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Jianqi Li
- Department of Physics, East China Normal University, Shanghai, P.R. China
| | - Yan Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China
| | - Yihao Yao
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA.,Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China
| | - Kelly M Gillen
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Alan H Wilman
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada
| | - Ajay Gupta
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | | | - Ilhami Kovanlikaya
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | | | - Jonathan W Weinsaft
- Division of Cardiology, Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | | | - Weiwei Chen
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, P.R. China
| | - Shixin Chang
- Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese & Western Medicine, Shanghai, P.R. China
| | - Min Lou
- Department of Neurology, the Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, P.R. China
| | - Brian H Kopell
- Department of Neurosurgery, Mount Sinai Hospital, New York, New York, USA
| | - Michael G Kaplitt
- Department of Neurological Surgery, Weill Cornell Medical College, New York, New York, USA
| | - David Devos
- Department of Medical Pharmacology, University of Lille, Lille, France.,Department of Neurology and Movement Disorders, University of Lille, Lille, France.,Department of Toxicology, Public Health and Environment, University of Lille, Lille, France.,INSERM U1171, University of Lille, Lille, France
| | - Toshinori Hirai
- Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Xuemei Huang
- Department of Neurology, Penn State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA.,Department of Pharmacology, Penn State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA.,Department of Neurosurgery, Penn State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA.,Department of Radiology, Penn State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Yukunori Korogi
- Department of Radiology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Alexander Shtilbans
- Department of Neurology, Hospital for Special Surgery, New York, New York, USA.,Parkinson's Disease and Movement Disorder Institute, Weill Cornell Medical College, New York, New York, USA
| | - Geon-Ho Jahng
- Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, South Korea
| | - Daniel Pelletier
- Department of Neurology, Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Susan A Gauthier
- Department of Neurology and Neuroscience, Weill Cornell Medical College, New York, New York, USA
| | - David Pitt
- Department of Neurology, School of Medicine, Yale University, New Haven, Connecticut, USA
| | - Ashley I Bush
- Oxidation Biology Unit, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
| | - Gary M Brittenham
- Department of Pediatrics, Columbia University, Children's Hospital of New York, New York, New York, USA
| | - Martin R Prince
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
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29
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Ponath G, Ramanan S, Mubarak M, Housley W, Lee S, Sahinkaya FR, Vortmeyer A, Raine CS, Pitt D. Myelin phagocytosis by astrocytes after myelin damage promotes lesion pathology. Brain 2016; 140:399-413. [PMID: 28007993 DOI: 10.1093/brain/aww298] [Citation(s) in RCA: 134] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 10/14/2016] [Accepted: 10/17/2016] [Indexed: 12/20/2022] Open
Abstract
Astrocytes are key players in the pathology of multiple sclerosis and can assume beneficial and detrimental roles during lesion development. The triggers and timing of the different astroglial responses in acute lesions remain unclear. Astrocytes in acute multiple sclerosis lesions have been shown previously to contain myelin debris, although its significance has not been examined. We hypothesized that myelin phagocytosis by astrocytes is an early event during lesion formation and leads to astroglial immune responses. We examined multiple sclerosis lesions and other central nervous system pathologies with prominent myelin injury, namely, progressive multifocal leukoencephalopathy, metachromatic leukodystrophy and subacute infarct. In all conditions, we found that myelin debris was present in most astrocytes at sites of acute myelin breakdown, indicating that astroglial myelin phagocytosis is an early and prominent feature. Functionally, myelin debris was taken up by astrocytes through receptor-mediated endocytosis and resulted in astroglial NF-κB activation and secretion of chemokines. These in vitro results in rats were validated in human disease where myelin-positive hypertrophic astrocytes showed increased nuclear localization of NF-κB and elevated chemokine expression compared to myelin-negative, reactive astrocytes. Thus, our data suggest that myelin uptake is an early response of astrocytes in diseases with prominent myelin injury that results in recruitment of immune cells. This first line response of astrocytes to myelin injury may exert beneficial or detrimental effects on the lesion pathology, depending on the inflammatory context. Modulating this response might be of therapeutic relevance in multiple sclerosis and other demyelinating conditions.
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Affiliation(s)
- Gerald Ponath
- Yale University, School of Medicine, Department of Neurology, 300 George St, New Haven, CT 06511, USA
| | - Sriram Ramanan
- Yale University, School of Medicine, Department of Neurology, 300 George St, New Haven, CT 06511, USA
| | - Mayyan Mubarak
- Yale University, School of Medicine, Department of Neurology, 300 George St, New Haven, CT 06511, USA
| | - William Housley
- Yale University, School of Medicine, Department of Neurology, 300 George St, New Haven, CT 06511, USA
| | - Seunghoon Lee
- Yale University, School of Medicine, Department of Ophthalmology and Visual Science, 300 George St, New Haven, CT 06511, USA
| | - F Rezan Sahinkaya
- The Ohio State University College of Medicine, Department of Neuroscience, 670 Biomedical Research Tower, Columbus, OH, 43210, USA
| | - Alexander Vortmeyer
- Yale University, School of Medicine, Department of Pathology, 310 Cedar Street New Haven, CT 06520-8023, USA
| | - Cedric S Raine
- Albert Einstein College of Medicine, Department of Pathology (Neuropathology), 1300 Morris Park Avenue, Bronx, NY 10461, USA
| | - David Pitt
- Yale University, School of Medicine, Department of Neurology, 300 George St, New Haven, CT 06511, USA
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Zhang Y, Gauthier SA, Gupta A, Chen W, Comunale J, Chiang GCY, Zhou D, Askin G, Zhu W, Pitt D, Wang Y. Quantitative Susceptibility Mapping and R2* Measured Changes during White Matter Lesion Development in Multiple Sclerosis: Myelin Breakdown, Myelin Debris Degradation and Removal, and Iron Accumulation. AJNR Am J Neuroradiol 2016; 37:1629-35. [PMID: 27256856 DOI: 10.3174/ajnr.a4825] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 02/18/2016] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Quantitative susceptibility mapping and R2* are sensitive to myelin and iron changes in multiple sclerosis lesions. This study was designed to characterize lesion changes on quantitative susceptibility mapping and R2* at various gadolinium-enhancement stages. MATERIALS AND METHODS This study included 64 patients with MS with different enhancing patterns in white matter lesions: nodular, shell-like, nonenhancing < 1 year old, and nonenhancing 1-3 years old. These represent acute, late acute, early chronic, and late chronic lesions, respectively. Susceptibility values measured on quantitative susceptibility mapping and R2* values were compared among the 4 lesion types. Their differences were assessed with a generalized estimating equation, controlling for Expanded Disability Status Scale score, age, and disease duration. RESULTS We analyzed 203 lesions: 80 were nodular-enhancing, of which 77 (96.2%) were isointense on quantitative susceptibility mapping; 33 were shell-enhancing, of which 30 (90.9%) were hyperintense on quantitative susceptibility mapping; and 49 were nonenhancing lesions < 1 year old and 41 were nonenhancing lesions 1-3 years old, all of which were hyperintense on quantitative susceptibility mapping. Their relative susceptibility/R2* values were 0.5 ± 4.4 parts per billion/-5.6 ± 2.9 Hz, 10.2 ± 5.4 parts per billion/-8.0 ± 2.6 Hz, 20.2 ± 7.8 parts per billion/-3.1 ± 2.3 Hz, and 33.2 ± 8.2 parts per billion/-2.0 ± 2.6 Hz, respectively, and were significantly different (P < .005). CONCLUSIONS Early active MS lesions with nodular enhancement show R2* decrease but no quantitative susceptibility mapping change, reflecting myelin breakdown; late active lesions with peripheral enhancement show R2* decrease and quantitative susceptibility mapping increase in the lesion center, reflecting further degradation and removal of myelin debris; and early or late chronic nonenhancing lesions show both quantitative susceptibility mapping and R2* increase, reflecting iron accumulation.
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Affiliation(s)
- Y Zhang
- From the Department of Radiology (Y.Z., W.C., W.Z.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Departments of Radiology (Y.Z., A.G., J.C., G.C.-Y.C., D.Z., Y.W.)
| | | | - A Gupta
- Departments of Radiology (Y.Z., A.G., J.C., G.C.-Y.C., D.Z., Y.W.)
| | - W Chen
- From the Department of Radiology (Y.Z., W.C., W.Z.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Comunale
- Departments of Radiology (Y.Z., A.G., J.C., G.C.-Y.C., D.Z., Y.W.)
| | - G C-Y Chiang
- Departments of Radiology (Y.Z., A.G., J.C., G.C.-Y.C., D.Z., Y.W.)
| | - D Zhou
- Departments of Radiology (Y.Z., A.G., J.C., G.C.-Y.C., D.Z., Y.W.)
| | - G Askin
- Healthcare Policy and Research (G.A.), Weill Cornell Medical College, New York, New York
| | - W Zhu
- From the Department of Radiology (Y.Z., W.C., W.Z.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - D Pitt
- Department of Neurology (D.P.), School of Medicine, Yale University, New Haven, Connecticut
| | - Y Wang
- Departments of Radiology (Y.Z., A.G., J.C., G.C.-Y.C., D.Z., Y.W.) Department of Biomedical Engineering (Y.W.), Cornell University, Ithaca, New York.
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Cao Y, Nylander A, Ramanan S, Goods BA, Ponath G, Zabad R, Chiang VLS, Vortmeyer AO, Hafler DA, Pitt D. CNS demyelination and enhanced myelin-reactive responses after ipilimumab treatment. Neurology 2016; 86:1553-6. [PMID: 26984943 DOI: 10.1212/wnl.0000000000002594] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 12/28/2015] [Indexed: 11/15/2022] Open
Affiliation(s)
- Yonghao Cao
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha.
| | - Alyssa Nylander
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - Sriram Ramanan
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - Brittany A Goods
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - Gerald Ponath
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - Rana Zabad
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - Veronica L S Chiang
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - Alexander O Vortmeyer
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - David A Hafler
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha
| | - David Pitt
- From the Yale School of Medicine (Y.C., A.N., S.R., G.P., V.L.S.C., A.O.V., D.A.H., D.P.), New Haven, CT; Koch Institute for Integrative Cancer Research at the Massachusetts Institute of Technology (B.A.G.), Cambridge; and University of Nebraska Medical Center (R.Z.), Omaha.
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Schmalbrock P, Prakash RS, Schirda B, Janssen A, Yang GK, Russell M, Knopp MV, Boster A, Nicholas JA, Racke M, Pitt D. Basal Ganglia Iron in Patients with Multiple Sclerosis Measured with 7T Quantitative Susceptibility Mapping Correlates with Inhibitory Control. AJNR Am J Neuroradiol 2016; 37:439-46. [PMID: 26611996 DOI: 10.3174/ajnr.a4599] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2015] [Accepted: 07/31/2015] [Indexed: 01/10/2023]
Abstract
BACKGROUND AND PURPOSE T2 hypointensity in the basal ganglia of patients with MS has been associated with clinical progression and cognitive decline. Our objectives were the following: 1) to compare signal in T2WI, R2 (ie, 1/T2), and R2* (ie, 1/T2*) relaxation rates and quantitative susceptibility mapping; and 2) to investigate the associations among MR imaging, clinical scores, and cognitive measures of inhibitory control linked to basal ganglia functioning. MATERIALS AND METHODS Twenty-nine patients with MS underwent a battery of neuropsychological tests including the Flanker and Stroop tasks. 7T MR imaging included 3D gradient-echo and single-echo multishot spin-echo EPI. Quantitative susceptibility mapping images were calculated by using a Wiener filter deconvolution algorithm. T2WI signal was normalized to CSF. R2 and R2* were calculated by log-linear regression. Average MR imaging metrics for the globus pallidus, putamen, and caudate were computed from manually traced ROIs including the largest central part of each structure. RESULTS Marked spatial variation was consistently visualized on quantitative susceptibility mapping and T2/T2*WI within each basal ganglia structure. MR imaging metrics correlated with each other for each basal ganglia structure individually. Notably, caudate and putamen quantitative susceptibility mapping metrics were similar, but the putamen R2 was larger than the caudate R2. This finding suggests that tissue features contribute differently to R2 and quantitative susceptibility mapping. Caudate and anterior putamen quantitative susceptibility mapping correlated with the Flanker but not Stroop measures; R2 did not correlate with inhibitory control measures. Putamen quantitative susceptibility mapping and caudate and putamen R2 correlated with the Expanded Disability Status Scale. CONCLUSIONS Our study showed that quantitative susceptibility mapping and R2 may be complementary indicators for basal ganglia tissue changes in MS. Our findings are consistent with the hypothesis that decreased performance of basal ganglia-reliant tasks involving inhibitory control is associated with increased quantitative susceptibility mapping.
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Affiliation(s)
- P Schmalbrock
- From the Departments of Radiology (P.S., G.K.Y., M. Russell, M.V.K.)
| | | | | | | | - G K Yang
- From the Departments of Radiology (P.S., G.K.Y., M. Russell, M.V.K.)
| | - M Russell
- From the Departments of Radiology (P.S., G.K.Y., M. Russell, M.V.K.)
| | - M V Knopp
- From the Departments of Radiology (P.S., G.K.Y., M. Russell, M.V.K.)
| | - A Boster
- Neurology (A.B., J.A.N., M. Racke), The Ohio State University, Columbus, Ohio
| | - J A Nicholas
- Neurology (A.B., J.A.N., M. Racke), The Ohio State University, Columbus, Ohio
| | - M Racke
- Neurology (A.B., J.A.N., M. Racke), The Ohio State University, Columbus, Ohio
| | - D Pitt
- Department of Neurology (D.P.), Yale School of Medicine, New Haven, Connecticut
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Stüber C, Pitt D, Wang Y. Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping. Int J Mol Sci 2016; 17:ijms17010100. [PMID: 26784172 PMCID: PMC4730342 DOI: 10.3390/ijms17010100] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 01/05/2016] [Accepted: 01/07/2016] [Indexed: 01/06/2023] Open
Abstract
Iron is considered to play a key role in the development and progression of Multiple Sclerosis (MS). In particular, iron that accumulates in myeloid cells after the blood-brain barrier (BBB) seals may contribute to chronic inflammation, oxidative stress and eventually neurodegeneration. Magnetic resonance imaging (MRI) is a well-established tool for the non-invasive study of MS. In recent years, an advanced MRI method, quantitative susceptibility mapping (QSM), has made it possible to study brain iron through in vivo imaging. Moreover, immunohistochemical investigations have helped defining the lesional and cellular distribution of iron in MS brain tissue. Imaging studies in MS patients and of brain tissue combined with histological studies have provided important insights into the role of iron in inflammation and neurodegeneration in MS.
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Affiliation(s)
- Carsten Stüber
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - David Pitt
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - Yi Wang
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
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Abstract
Iron is considered to play a key role in the development and progression of Multiple Sclerosis (MS). In particular, iron that accumulates in myeloid cells after the blood-brain barrier (BBB) seals may contribute to chronic inflammation, oxidative stress and eventually neurodegeneration. Magnetic resonance imaging (MRI) is a well-established tool for the non-invasive study of MS. In recent years, an advanced MRI method, quantitative susceptibility mapping (QSM), has made it possible to study brain iron through in vivo imaging. Moreover, immunohistochemical investigations have helped defining the lesional and cellular distribution of iron in MS brain tissue. Imaging studies in MS patients and of brain tissue combined with histological studies have provided important insights into the role of iron in inflammation and neurodegeneration in MS.
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Affiliation(s)
- Carsten Stüber
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - David Pitt
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - Yi Wang
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
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35
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Wisnieff C, Ramanan S, Olesik J, Gauthier S, Wang Y, Pitt D. Quantitative susceptibility mapping (QSM) of white matter multiple sclerosis lesions: Interpreting positive susceptibility and the presence of iron. Magn Reson Med 2015; 74:564-70. [PMID: 25137340 PMCID: PMC4333139 DOI: 10.1002/mrm.25420] [Citation(s) in RCA: 177] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Revised: 07/15/2014] [Accepted: 07/31/2014] [Indexed: 12/12/2022]
Abstract
PURPOSE Within multiple sclerosis (MS) lesions iron is present in chronically activated microglia. Thus, iron detection with MRI might provide a biomarker for chronic inflammation within lesions. Here, we examine contributions of iron and myelin to magnetic susceptibility of lesions on quantitative susceptibility mapping (QSM). METHODS Fixed MS brain tissue was assessed with MRI including gradient echo data, which was processed to generate field (phase), R2* and QSM. Five lesions were sectioned and evaluated by immunohistochemistry for presence of myelin, iron and microglia/macrophages. Two of the lesions had an elemental analysis for iron concentration mapping, and their phospholipid content was estimated from the difference in the iron and QSM data. RESULTS Three of the five lesions had substantial iron deposition that was associated with microglia and positive susceptibility values. For the two lesions with elemental analysis, the QSM derived phospholipid content maps were consistent with myelin labeled histology. CONCLUSION Positive susceptibility values with respect to water indicate the presence of iron in MS lesions, although both demyelination and iron deposition contribute to QSM.
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Affiliation(s)
- Cynthia Wisnieff
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
| | - Sriram Ramanan
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
| | - John Olesik
- School of Earth Sciences, Ohio State University, Columbus, Ohio, USA
| | - Susan Gauthier
- Department of Neurology, Weill Cornell Medical College, New York, New York, USA
| | - Yi Wang
- Department of Biomedical Engineering, Cornell University, Ithaca, New York, USA
- Department of Radiology, Weill Cornell Medical College, New York, New York, USA
- Department of Biomedical Engineering, Kyung Hee University, Seoul, South Korea
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
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Stern JNH, Yaari G, Vander Heiden JA, Church G, Donahue WF, Hintzen RQ, Huttner AJ, Laman JD, Nagra RM, Nylander A, Pitt D, Ramanan S, Siddiqui BA, Vigneault F, Kleinstein SH, Hafler DA, O'Connor KC. B cells populating the multiple sclerosis brain mature in the draining cervical lymph nodes. Sci Transl Med 2015; 6:248ra107. [PMID: 25100741 DOI: 10.1126/scitranslmed.3008879] [Citation(s) in RCA: 318] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Multiple sclerosis (MS) is an inflammatory disease of the central nervous system (CNS) characterized by autoimmune-mediated demyelination and neurodegeneration. The CNS of patients with MS harbors expanded clones of antigen-experienced B cells that reside in distinct compartments including the meninges, cerebrospinal fluid (CSF), and parenchyma. It is not understood whether this immune infiltrate initiates its development in the CNS or in peripheral tissues. B cells in the CSF can exchange with those in peripheral blood, implying that CNS B cells may have access to lymphoid tissue that may be the specific compartment(s) in which CNS-resident B cells encounter antigen and experience affinity maturation. Paired tissues were used to determine whether the B cells that populate the CNS mature in the draining cervical lymph nodes (CLNs). High-throughput sequencing of the antibody repertoire demonstrated that clonally expanded B cells were present in both compartments. Founding members of clones were more often found in the draining CLNs. More mature clonal members derived from these founders were observed in the draining CLNs and also in the CNS, including lesions. These data provide new evidence that B cells traffic freely across the tissue barrier, with the majority of B cell maturation occurring outside of the CNS in the secondary lymphoid tissue. Our study may aid in further defining the mechanisms of immunomodulatory therapies that either deplete circulating B cells or affect the intrathecal B cell compartment by inhibiting lymphocyte transmigration into the CNS.
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Affiliation(s)
- Joel N H Stern
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Gur Yaari
- Department of Pathology, Yale School of Medicine, New Haven, CT 06511, USA. Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan 52900, Israel
| | - Jason A Vander Heiden
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - George Church
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | | | - Rogier Q Hintzen
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, and MS Centrum ErasMS, 3000 CA Rotterdam, the Netherlands
| | - Anita J Huttner
- Department of Pathology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Jon D Laman
- Department of Immunology, Erasmus MC, University Medical Center Rotterdam, and MS Centrum ErasMS, 3000 CA Rotterdam, the Netherlands
| | - Rashed M Nagra
- Neurology Research, West Los Angeles VA Medical Center, Los Angeles, CA 90073, USA
| | - Alyssa Nylander
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Sriram Ramanan
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Bilal A Siddiqui
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA
| | - Francois Vigneault
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. AbVitro Incorporated, Boston, MA 02210, USA
| | - Steven H Kleinstein
- Department of Pathology, Yale School of Medicine, New Haven, CT 06511, USA. Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
| | - David A Hafler
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA. Department of Immunobiology, Yale School of Medicine, New Haven, CT 06511, USA.
| | - Kevin C O'Connor
- Department of Neurology, Yale School of Medicine, New Haven, CT 06511, USA.
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Orack JC, Deleidi M, Pitt D, Mahajan K, Nicholas JA, Boster AL, Racke MK, Comabella M, Watanabe F, Imitola J. Concise review: modeling multiple sclerosis with stem cell biological platforms: toward functional validation of cellular and molecular phenotypes in inflammation-induced neurodegeneration. Stem Cells Transl Med 2015; 4:252-60. [PMID: 25593207 DOI: 10.5966/sctm.2014-0133] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
In recent years, tremendous progress has been made in identifying novel mechanisms and new medications that regulate immune cell function in multiple sclerosis (MS). However, a significant unmet need is the identification of the mechanisms underlying neurodegeneration, because patients continue to manifest brain atrophy and disability despite current therapies. Neural and mesenchymal stem cells have received considerable attention as therapeutic candidates to ameliorate the disease in preclinical and phase I clinical trials. More recently, progress in somatic cell reprogramming and induced pluripotent stem cell technology has allowed the generation of human "diseased" neurons in a patient-specific setting and has provided a unique biological tool that can be used to understand the cellular and molecular mechanisms of neurodegeneration. In the present review, we discuss the application and challenges of these technologies, including the generation of neurons, oligodendrocytes, and oligodendrocyte progenitor cells (OPCs) from patients and novel stem cell and OPC cellular arrays, in the discovery of new mechanistic insights and the future development of MS reparative therapies.
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Affiliation(s)
- Joshua C Orack
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Michela Deleidi
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - David Pitt
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Kedar Mahajan
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jacqueline A Nicholas
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Aaron L Boster
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Michael K Racke
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Manuel Comabella
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Fumihiro Watanabe
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaime Imitola
- Multiple Sclerosis Center and Laboratory for Neural Stem Cells, Departments of Neurology and Neuroscience, The Ohio State University College of Medicine Wexner Medical Center, Columbus, Ohio, USA; Department of Neurodegenerative Diseases and German Center for Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA; Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d'Hebron, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
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Guerau-de-Arellano M, Liu Y, Meisen WH, Pitt D, Racke MK, Lovett-Racke AE. Analysis of miRNA in Normal Appearing White Matter to Identify Altered CNS Pathways in Multiple Sclerosis. ACTA ACUST UNITED AC 2015; 1. [PMID: 26894232 DOI: 10.21767/2471-8153.100006] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Genetic studies suggest that the immune system is the greatest genetic contributor to multiple sclerosis (MS) susceptibility. Yet, these immune-related genes do not explain why inflammation is limited to the CNS in MS. We hypothesize that there is an underlying dysregulation in the CNS of MS patients that makes them more vulnerable to CNS inflammation. The sparsity of CNS-related genes associated with MS suggests that epigenetic changes in the CNS may play a role. Thus, a miRNA profiling study was performed in NAWM of MS patients and control subjects to determine if specific CNS pathways can be identified that may be altered due to miRNA-mediated post-transcriptional dysregulation. There were 15 differentially expressed miRNAs found in the MS patients' NAWM. Pathway analysis indicated that the MAPK pathway and pathways associated with the blood-brain barrier were predicted to be significantly affected by these miRNAs. Using target predication and mRNA analysis, an inverse relationship was found between miR-191 and BDNF, SOX4, FZD5 and WSB1. The pathway and target analysis of the MS-associated miRNAs suggests that MS patients' CNS is more prone to inflammation and less capable of repair, yet enriched in neuroprotective mechanisms.
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Affiliation(s)
- Mireia Guerau-de-Arellano
- Division of Medical Laboratory Science, School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, USA; Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Yue Liu
- Department of Microbial Infection and Immunity, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Walter H Meisen
- Biomedical Sciences Graduate Program, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT.; Department of Neurology, The Ohio State University Wexner MedicalCenter, Columbus, OH, USA
| | - Michael K Racke
- Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Neurology, The Ohio State University Wexner MedicalCenter, Columbus, OH, USA
| | - Amy E Lovett-Racke
- Department of Neuroscience, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Microbial Infection and Immunity, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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Soltys J, Knight J, Scharf E, Pitt D, Mao-Draayer Y. IFN-β alters neurotrophic factor expression in T cells isolated from multiple sclerosis patients - implication of novel neurotensin/NTSR1 pathway in neuroprotection. Am J Transl Res 2014; 6:312-319. [PMID: 24936223 PMCID: PMC4058312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2014] [Accepted: 03/31/2014] [Indexed: 06/03/2023]
Abstract
Inflammation in relapsing remitting multiple sclerosis (RRMS) is hypothesized to provide neuroprotective effects via altered cytokine/neurotrophin homeostasis. The distinct neurotrophin production from specific cell populations has not been systematically studied and is likely of high yield in understanding the complex regulation of MS pathogenesis. Here, we describe how the mainstream therapy interferon-β (IFN-β) modulates neurotrophin expression in T cells isolated from RRMS patients and characterize the neuroprotective capabilities of these factors. We utilize SuperArray gene screen technology to investigate the neurotrophin expression profile of T cells. We demonstrate that IFN-β induces an anti-inflammatory cytokine expression pattern in T cells. Additionally, IFN-β upregulates the expression of a novel neurotrophin receptor, the neurotensin high affinity receptor 1 (NTSR1). NTSR1 is expressed in active demyelinating lesions. Furthermore, we demonstrate that the receptor agonist neurotensin is a potent inducer of human neural stem/progenitor cell survival. Our findings highlight the importance of neurotrophin receptors in RRMS and offer insight into disease pathogenesis as well as the mechanisms of action of IFN-β.
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Affiliation(s)
- John Soltys
- University of Colorado School of Medicine Medical Scientist Training ProgramAurora, CO, USA
| | - Julia Knight
- Department of Psychiatry, University of VermontBurlington, VT, USA
| | - Eugene Scharf
- Department of Neurology, Mayo ClinicRochester, MN, USA
| | - David Pitt
- Department of Neurology, Yale UniversityNew Haven, CT, USA
| | - Yang Mao-Draayer
- Department of Neurology, University of MichiganAnn Arbor, MI, USA
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Chen W, Gauthier SA, Gupta A, Comunale J, Liu T, Wang S, Pei M, Pitt D, Wang Y. Quantitative susceptibility mapping of multiple sclerosis lesions at various ages. Radiology 2013; 271:183-92. [PMID: 24475808 DOI: 10.1148/radiol.13130353] [Citation(s) in RCA: 177] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE To assess multiple sclerosis (MS) lesions at various ages by using quantitative susceptibility mapping (QSM) and conventional magnetic resonance (MR) imaging. MATERIALS AND METHODS Retrospectively selected were 32 clinically confirmed MS patients (nine men and 23 women; 39.3 years ± 10.9) who underwent two MR examinations (interval, 0.43 years ± 0.16) with three-dimensional gradient-echo sequence from August 2011 to August 2012. To estimate the ages of MS lesions, MR examinations performed 0.3-10.6 years before study examinations were studied. Hyperintensity on T2-weighted images was used to define MS lesions. QSM images were reconstructed from gradient-echo data. Susceptibility of MS lesions and temporal rates of change were obtained from QSM images. Lesion susceptibilities were analyzed by t test with intracluster correlation adjustment and Bonferroni correction in multiple comparisons. RESULTS MR imaging of 32 patients depicted 598 MS lesions, of which 162 lesions (27.1%) in 23 patients were age measurable and six (1.0%) were only visible at QSM. The susceptibilities relative to normal-appearing white matter (NAWM) were 0.53 ppb ± 3.34 for acute enhanced lesions, 38.43 ppb ± 13.0 (positive; P < .01) for early to intermediately aged nonenhanced lesions, and 4.67 ppb ± 3.18 for chronic nonenhanced lesions. Temporal rates of susceptibility changes relative to cerebrospinal fluid were 12.49 ppb/month ± 3.15 for acute enhanced lesions, 1.27 ppb/month ± 2.31 for early to intermediately aged nonenhanced lesions, and -0.004 ppb/month ± 0 for chronic nonenhanced lesions. CONCLUSION Magnetic susceptibility of MS lesions increased rapidly as it changed from enhanced to nonenhanced, it attained a high susceptibility value relative to NAWM during its initial few years (approximately 4 years), and it gradually dissipated back to susceptibility similar to that of NAWM as it aged, which may provide new insight into pathophysiologic features of MS lesions. Online supplemental material is available for this article.
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Affiliation(s)
- Weiwei Chen
- From the Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China (W.C.); Departments of Neurology (S.A.G.) and Radiology (W.C., A.G., J.C., T.L., S.W., M.P., Y.W.), Weill Cornell Medical College, 515 E 71st St, New York, NY 10021; Department of Biomedical Engineering, Cornell University, Ithaca, NY (T.L., Y.W.); Department of Biomedical Engineering, Kyung Hee University, Seoul, South Korea (Y.W.); School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China (S.W.); and Department of Neurology, Yale University, New Haven, Conn (D.P.)
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Cox GM, Kithcart AP, Pitt D, Guan Z, Alexander J, Williams JL, Shawler T, Dagia NM, Popovich PG, Satoskar AR, Whitacre CC. Macrophage Migration Inhibitory Factor Potentiates Autoimmune-Mediated Neuroinflammation. J I 2013; 191:1043-54. [DOI: 10.4049/jimmunol.1200485] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Boster AL, Nicholas JA, Topalli I, Kisanuki YY, Pei W, Morgan-Followell B, Kirsch CF, Racke MK, Pitt D. Lessons learned from fatal progressive multifocal leukoencephalopathy in a patient with multiple sclerosis treated with natalizumab. JAMA Neurol 2013; 70:398-402. [PMID: 23338729 DOI: 10.1001/jamaneurol.2013.1960] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE To describe the clinical, radiological, and histopathological features of a fatal case of progressive multifocal leukoencephalopathy (PML) in a patient with multiple sclerosis treated with natalizumab. We will use this case to review PML risk stratification and diagnosis. DESIGN Case report. SETTING Tertiary referral center hospitalized care. PATIENT A 55-year-old, JC virus (JCV) antibody-positive patient with multiple sclerosis who died of PML after receiving 45 infusions of natalizumab. MAIN OUTCOME MEASURES Brain magnetic resonance imaging and cerebrospinal fluid JCV DNA polymerase chain reaction results. RESULTS The patient developed subacute onset of bilateral blindness following his 44th dose of natalizumab. Ophthalmologic examination was normal, the brain magnetic resonance imaging was not suggestive of PML, and cerebrospinal fluid analysis did not reveal the presence of JCV DNA. The patient was subsequently treated for a presumed multiple sclerosis relapse with high-dose corticosteroids. Two weeks after his 45th dose of natalizumab, he developed hemiplegia that evolved into quadriparesis. Repeated magnetic resonance imaging and cerebrospinal fluid studies were diagnostic for PML. Postmortem histopathological analysis demonstrated PML-associated white matter and cortical demyelination. CONCLUSIONS The risks and benefits of natalizumab must be reassessed with continued therapy duration. When there is high clinical suspicion for PML in the setting of negative test results, close clinical vigilance is indicated, natalizumab treatment should be suspended, and JCV polymerase chain reaction testing and brain magnetic resonance imaging scans should be repeated.
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Affiliation(s)
- Aaron L Boster
- Departments of Neurology and Neuroscience, The Ohio State University, 460 W 12th Ave, Columbus, OH 43210 , USA
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Mehta V, Pei W, Yang G, Li S, Swamy E, Boster A, Schmalbrock P, Pitt D. Iron is a sensitive biomarker for inflammation in multiple sclerosis lesions. PLoS One 2013; 8:e57573. [PMID: 23516409 PMCID: PMC3597727 DOI: 10.1371/journal.pone.0057573] [Citation(s) in RCA: 156] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2012] [Accepted: 01/22/2013] [Indexed: 01/14/2023] Open
Abstract
MRI phase imaging in multiple sclerosis (MS) patients and in autopsy tissue have demonstrated the presence of iron depositions in white matter lesions. The accumulation of iron in some but not all lesions suggests a specific, potentially disease-relevant process, however; its pathophysiological significance remains unknown. Here, we explore the role of lesional iron in multiple sclerosis using multiple approaches: immunohistochemical examination of autoptic MS tissue, an in vitro model of iron-uptake in human cultured macrophages and ultra-highfield phase imaging of highly active and of secondary progressive MS patients. Using Perls' stain and immunohistochemistry, iron was detected in MS tissue sections predominantly in non-phagocytosing macrophages/microglia at the edge of established, demyelinated lesions. Moreover, iron-containing macrophages but not myelin-laden macrophages expressed markers of proinflammatory (M1) polarization. Similarly, in human macrophage cultures, iron was preferentially taken up by non-phagocytosing, M1-polarized macrophages and induced M1 (super) polarization. Iron uptake was minimal in myelin-laden macrophages and active myelin phagocytosis led to depletion of intracellular iron. Finally, we demonstrated in MS patients using GRE phase imaging with ultra-highfield MRI that phase hypointense lesions were significantly more prevalent in patients with active relapsing than with secondary progressive MS. Taken together, our data provide a basis to interpret iron-sensitive GRE phase imaging in MS patients: iron is present in non-phagocytosing, M1-polarized microglia/macrophages at the rim of chronic active white matter demyelinating lesions. Phase imaging may therefore visualize specific, chronic proinflammatory activity in established MS lesions and thus provide important clinical information on disease status and treatment efficacy in MS patients.
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Affiliation(s)
- Veela Mehta
- Department of Neurology, The Ohio State University, Columbus, Ohio, United States of America
| | - Wei Pei
- Department of Neurology, The Ohio State University, Columbus, Ohio, United States of America
| | - Grant Yang
- Department of Radiology, The Ohio State University, Columbus, Ohio, United States of America
| | - Suyang Li
- Department of Neurology, The Ohio State University, Columbus, Ohio, United States of America
| | - Eashwar Swamy
- Department of Neurology, The Ohio State University, Columbus, Ohio, United States of America
| | - Aaron Boster
- Department of Neurology, The Ohio State University, Columbus, Ohio, United States of America
| | - Petra Schmalbrock
- Department of Radiology, The Ohio State University, Columbus, Ohio, United States of America
| | - David Pitt
- Department of Neurology, The Ohio State University, Columbus, Ohio, United States of America
- Department of Neurology, School of Medicine, Yale University, New Haven, Connecticut, United States of America
- * E-mail:
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Fayez R, AlMuntashery A, Bodie G, Almamar A, Gill R, Raîche I, Mueller C, AlMuntashery A, Fayez R, AlMuntashery A, Moustarah F, Khokhotva M, Anvari M, Kwong J, Elkassem S, Bonrath E, Zevin B, Sockalingam S, Smith C, Smith C, Whitlock K, Gill R, Suri M, Palter V, Wakeam E, Khan R, Martelli V, Malik A, Young P, Daigle C, McCreery G, Seth R, Paskar D, Sudarshan M, Richardson D, Haggar F, Davis V, Rivard J, Agzarian J, Racz J, Winocour J, Zilbert N, Decker C, Neumann K, Gosney J, Wissanji H, Chadi S, Alhabboubi M, Partridge E, Alhabboubi M, Olszewski M, Chan R, Nadler A, Hameed U, Brotherhood H, Menezes A, MacDonald B, Rakovich G, Hilsden R, Merani S, Davis P, Davis P, Cools-Lartigue J, Ojah J, Julien F, Carter D, Pitt D, Banks B, Rudovics A, Ravichandran P, Anantha R, Aad I, Kholdebarin R, Aird L, Wong S, Payne J, Hallet J, Farries L, Raiche I, Botkin C, Morency D, Berger-Richardson D, Isa A, Dupuis I, Schweigert M, Koubi S, Ernjakovic M, Grant K, Cools-Lartigue J, Carrott P, Stafford T, Malthaner R, Sudarshan M, Hanna W, Lee L, Markar S, Razzak R, Bharadwaj S, Ashrafi A, Ouellette D, Fergusson D, Forster A, Boushey R, Porter G, Johnson P, Gomes T, Chan B, Auer R, Moloo H, Mamdani M, Markar S, Al-Omran M, Al-Obaid O, Boushey R, Lim DR, Min BS, Baik SH, Gordon P, Kim NK, Lo A, Pinsk I, Bottoni D, Brown C, Raval M, Cheng H, Wong C, Johnston N, Farrokhyar F, Stephen W, Kelly S, Lindsay L, Forbes S, Knickle C, Bouchard A, Parry N, Leslie K, Ott M, Coughlin S, Gazala S, Gazala S, Donahoe L, Walker K, Li C, Alnasser S, Schweigert M, Schweigert M, Zhuruk A, Hanouf A, Vanounou T, Karanicolas P, Aubin JM, Yeung J, Dumitra S, Simoneau E, Vanounou T, Howe B, Hawel J, Jang JH, Bertens K, Rekman J, Wei A, Dumitra S, Koubi S, Ouellet JF, Wei A, Covelli A, Maniar R, Sun S, Davis V, Brackstone M, Boissonneault R, Kim S, Baliski C, Gazala S, Hameed U, Sudarshan M, Arnaout A, Wedman D, Nostedt M, Hebbard P, Shetty S, Dixon M, Wei A, Dixon M, Kazazian K, Lemke M, Wells B, Musselman R, Zih FSW, Menezes A, Nassif M, Leon-Carlyle M, Wei A, Krotneva S, Bradley N, Trabulsi N, Trabulsi N, Chin-Lenn L, Cheng H, Petrucci A, Sandhu L, Neville A, Lee L, Li C, Yang I, Prabhu KL, Melich G, Knowles S, Richardson D, Borowiec A, Hallet J, Boissonneault R, Kolozsvari N, Hallet J, Tuttle P, VanHouwelingen L, Haggar F, Boulanger-Gobeil C, Chan B, Chan B, Richardson D, Musselman R, Melich G, Phang P, Goldstein L, Wen C, Lebrun A, Chadi S, Roy M, Villeneuve S, AlMuntashery A, Demyttenaere S, Christou N, Court O, Fayez R, Demyttenaere S, Christou N, Court O, Bonrath E, Hagen J, Okrainec A, Sullivan P, Grantcharov T, Sharma A, Karmali S, Birch D, Majumdar S, Wang X, Tuepah R, Klarenbach S, Birch D, Karmali S, Sharma A, Padwal R, Smith C, Haggar F, Moloo H, Poulin E, Martel G, Yelle JD, Mamazza J, Jackson T, Penner T, Pitzul K, Urbach D, Okrainec A, Villeneuve S, Roy M, Fayez R, Demyttenaere S, Christou N, Court O, Roy M, Villeneuve S, AlMuntashery A, Demyttenaere S, Christou N, Court O, Fayez R, Demyttenaere S, Court O, Christou N, Biertho L, Hould FS, Lebel S, Lescelleur O, Marceau S, Marceau P, Biron S, Grantcharov T, Sharma A, Yusuf S, Okrainec A, Pitzul K, Urbach D, Jackson T, Lindsay D, Sullivan P, Smith L, Zevin B, Dedy N, Grantcharov T, Bonrath E, Aggarwal R, Grantcharov T, Cassin S, Crawford S, Pitzul K, Khan A, Hawa R, Jackson T, Okrainec A, Brar B, Mamazza J, Raîche I, Yelle JD, Haggar F, Moloo H, Brar B, Haggar F, Dent R, Mamazza J, Raîche I, Moloo H, Gill R, Ali T, Shi X, Birch D, Karmali S, Whitlock K, Shi X, Sarkhosh K, Birch D, Karmali S, Turner J, Nation P, Wizzard P, Brubaker P, Gisalet D, Wales P, Grantcharov T, Tien H, Spencer F, Brenneman F, Kowal J, Wiseman S, Fraser S, Vedel I, Deban M, Holcroft C, Monette M, Monette J, Bergman S, Bell C, Stukel T, Urbach D, Mueller T, Lucykx V, Lukowski C, Compston C, Churchill T, Khadaroo R, Grantcharov T, Vogt K, Dubois L, Gray D, Ananth A, Tai LH, Lam T, Falls T, Souza C, Bell J, Auer R, Crawford S, Parry N, Leslie K, Alhabboubi M, St-Louis E, Deckelbaum D, Razek T, Feldman L, Khwaja K, Porter G, Johnson P, Boushey R, Moloo H, Raiche I, Mamazza J, Schiller D, Eurich D, Sawyer M, Vergis A, Unger B, Hardy K, Andrew C, Gillman L, Park J, Prodger J, Kelly W, Kelly S, Prodger D, Ewara E, Martin J, Sarma S, Chu M, Schlachta C, Zaric G, Al-Ali K, Briggs K, George R, Murnaghan M, Leung A, Regehr G, Moulton CA, Mahmud S, Metcalfe J, McKay A, Park J, Hochman D, Burkle F, Redmond A, McQueen K, Desrosiers E, Gilbert A, Leslie K, Ott M, Sudarshan M, Jessula S, Alburakan A, Deckelbaum D, Razek T, Iqbal S, Khwaja K, Aikins C, Sudarshan M, Deckelbaum D, Iqbal S, Khwaja K, Razek T, Roberts N, Moulton CA, Murnaghan M, Cil T, Marshall J, Pederson K, Erichsen S, White J, Aarts MA, Okrainec A, Victor J, Pearsall E, McLeod R, Jackson T, Okrainec A, Penner T, Urbach D, Karimuddin A, Hall C, Bawan S, Malik S, Hayashi A, Gill R, McAlister C, Zhang N, DesRosiers E, Mills A, Crozier M, Lee L, Maxwell J, Partridge E, Chad S, Steigerwald S, Mapiour D, Roberts D, MacPherson C, Donahoe L, Mercer D, Hopman W, Latulippe JF, Knowles S, Moffat B, Parry N, Leslie K, Switzer N, Khadaroo R, Tul Y, Widder S, Molinari M, Levy A, Johnson P, Bailey J, Molinari M, Hayden J, Johnson P, Benlolo S, Marcus V, Ferri L, Finley R, Anderson D, Gagné JP, Chan S, Wong S, Li J, Michael A, Choi D, Liu E, Hoogenes J, Dath D, Aubin JM, Mew D, McConnell Y, Classen D, Kanthan S, Croome K, Kovacs M, Lazo-Langner A, Hernandez-Alejandro R, Vogt K, Crawford S, Parry N, Leslie K, Khoshgoo N, Iwasiow B, Keijzer R, Brown C, Isa D, Pace D, Widder S, Tul Y, Primrose M, Hudson D, Khadaroo R, Lauzier F, Mailloux O, Trottier V, ARchambault P, Zarychanski R, Turgeon A, Mailloux O, Hardy P, Muirhead R, Masters J, Haggar F, Poulin HME, Martel G, Mamazza J, Milbrandt C, Keijzer R, Sideris L, Grenier-Vallée P, Latulippe JF, Dubé P, Kurashima Y, Kaneva P, Feldman L, Fried G, Vassiliou M, Kwan AL, Fraser S, Solymosi N, Rauh N, Dubecz A, Renz M, Ofner D, Stein H, Borgaonkar M, Crystal P, Easson A, Escallon J, Reedijk M, Cil T, Leong W, McCready D, Clifton J, Mayo J, Finley R, Noreau-Nguyen M, Mulder D, Ferri L, Markar S, Hong J, Low D, Maslow A, Davignon K, Ng T, Tan L, Aruranian J, Kosa S, Ferri L, Murphy G, Allison F, Moshonov H, Darling G, Waddell T, De Perrot M, Cypel M, Yasufuku K, Keshavjee S, Paul N, Pierre A, Darling G, Pedneault C, Marcus V, Mulder D, Ferri L, Low D, Roa W, Löbenberg R, McEwan S, Bédard E, Louie B, Farivar A, McHugh S, Aye R, Tan-Tam C, De Vera M, Bond R, Ong S, Johal B, Schellenberg D, Po M, Nissar S, Lund C, Ahmadi S, Wakil N, Rakovich G, Beauchamps G, Preston S, Baker C, Low D, Campbell G, Malthaner R, Bethune D, Henteleff H, Johnston M, Buduhan G, Coughlin HE, Roth L, Bhandari M, Malthaner R, Johnson J, Kutsogiannis J, Bédard E, Rammohan K, Stewart K, Bédard E, Buduhan G, Gruchy J, Xu Z, Buduhan G, Ferri L, Mulder D, Ncuti A, Neville A, Kaneva P, Watson D, Vassiliou M, Carli F, Feldman L, Av R, Mayrand S, Franco E, Ferri L, Dubecz A, Renz M, Stadlhuber R, Ofner D, Stein H, Renz M, Dubecz A, Solymosi N, Thumfart L, Ofner D, Stein H, Croome K, Leeper R, Hernandez R, Livingstone S, Sapp J, Woodhall D, Alwayn I, Bergman S, Lam-McCulloch J, Balaa F, Jayaraman S, Quan D, Wei A, Guyatt G, Rekman J, Fairfull-Smith R, Mimeault R, Balaa F, Martel G, Boehnert M, Bazerbachi F, Knaak J, Selzner N, McGilvray I, Rotstein O, Adeyi O, Levy G, Keshavjee S, Grant D, Selzner M, Khalil JA, Jamal M, Chaudhury P, Zogopoulos G, Petrakos P, Tchervenkov J, Barkun J, Jamal M, Hassanain M, Chaudhury P, Wong S, Salman A, Tran T, Metrakos P, Groeschl R, Geller D, Marsh J, Gamblin T, Croome K, Croome K, Quan D, Hernandez R, Kim P, Greig PD, Gallinger S, Moulton CA, Wei A, Fischer S, Cleary S, Vogt K, Hernandez-Alejandro R, Gray D, Aubin J, Fairfull-Smith J, Mimeault R, Balaa F, Martel G, Devitt K, Ramjaun A, Gallingher S, Alabbad S, Constantinos D, Hassanein M, Barkun J, Metrakos P, Paraskevas S, Chaudhury P, Tchervenkov J, Borgaonkar M, Tanyingoh D, Dixon E, Kaplan G, Myers R, Howard T, Sutherland F, Zyromski N, Ball C, Coburn N, Moulton CA, Cleary S, Law C, Greig P, Steven G, Baxter N, Fitch M, Wright F, Hochman D, Wirtzfeld D, McKay A, Yaffe C, Yip B, Silverman R, Park J, McConnell Y, Temple W, Mack L, Schiller D, Bathe O, Sawyer M, Scott L, Vandenberg T, Perera F, Potvin K, Chambers A, Loungnarath R, DeBroux É, Lavertu S, Donath D, Ayoub JP, Tehfé M, Richard C, Cornacchi S, Heller B, Farrokhyar F, Babra M, Lovrics P, Liberto C, Ghosh S, McLean R, Schiller D, Jackson T, Okrainec A, Penner T, Urbach D, Dumitra S, Duplisea J, Wexler S, Seely J, Smylie J, Knight K, Robertson S, Watters J, Zhang T, Arneout A, Hochman D, Wirtzfeld D, McKay A, Yip B, Yaffe C, Silverman R, Park J, Baxter N, Yun L, Rakovitch E, Wright F, Warner E, McCready D, Hodgson N, Quan M, Natarajan B, Govindarajan V, Thomas P, Loggie B, Brar S, Mahar A, Law C, Coburn N, Devitt K, Wiebe M, Bathe O, McLeod R, Baxter N, Gagliardi A, Kennedy E, Urbach D, Brar S, Mahar A, Law C, Coburn N, Zih F, Rosario C, Dennis J, Gingras AC, Swallow C, Ko YJ, Rowsell C, Law C, Saskin R, Quan ML, Xie M, McLaughlin K, Marginean C, Moyana T, Moloo H, Boushey R, Auer R, Razik R, Haase E, Mathieson A, Smith A, Swallow C, Barnes A, Scheer A, Moloo H, Boushey R, Sabri E, Auer R, Reidel K, Trabulsi N, Meterissian S, Tamblyn R, Mayo N, Meguerditchian A, Brown J, Hamm J, Phang P, Raval M, Brown C, Devitt K, Wiebe M, Bathe O, McLeod R, Taylor B, Urbach D, Reidel K, Mayo N, Tamblyn R, Meguerditchian A, Hamm J, Wiseman S, Patakfalvi L, Nassif M, Turcotte R, Nichols A, Meguerditchian A, Riedel K, Winslade N, Grégoire JP, Meterissian S, Abrahamovicz M, Megueerditchian A, Pasieka J, McMillan C, Lipa J, Snell L, Sudarshan M, Dumitra S, Duplisea J, Wexler S, Meterissian S, Tomlinson G, Kennedy E, Wei A, Baxter N, Urbach D, Liberman A, Charlebois P, Stein B, Ncuti A, Vassiliou M, Fried G, Feldman L, Capretti G, Power A, Liberman A, Charlebois P, Stein B, Kaneva P, Carli F, Fried G, Feldman L, Carli F, Charlebois P, Stein B, Liberman A, Kaneva P, Augustin B, Gamsa A, Kim DJ, Vassiliou M, Feldman L, Boushey R, Moloo H, Vu L, Chan S, Phang P, Gown A, Jones S, Wiseman S, Jeong DH, Hur H, Baik SH, Kim NK, Faria J, Min BS, Lumb K, Colquhoun P, Porter G, Johnson P, Baxter N, Schmocker S, Huang H, Victor J, Krzyzanowska MK, Brierley J, McLeod R, Kennedy E, Milot H, Desrosiers E, Lebrun A, Drolet S, Bouchard A, Grégoire R, Vuong T, Loungnarath R, DeBroux E, Liberman A, Charlebois P, Stein B, Richard C, Capretti G, Kaneva P, Neville A, Carli F, Liberman S, Charlebois P, Stein B, Vassiliou M, Fried G, Feldman L, Milot H, Drolet S, Bouchard A, Grégoire R, Powell R, Fowler A, Mathieson A, Martin K, Vogt K, Ott M, Pereira G, Einarsdottir K, Moloo H, Boushey R, Mamazza J, Bouchard A, Gagné J, Grégoire R, Thibault C, Bouchard P, Gomes T, Musselman R, Auer R, Moloo H, Mamdani M, Al-Omran M, Boushey R, AlObeed O, Armstrong J. Canadian Surgery Forum1 Is laparoscopic sleeve gastrectomy a reasonable stand-alone procedure for super morbidly obese patients?2 Postoperative monitoring requirements of patients with obstructive sleep apnea undergoing bariatric surgery3 Role of relaparoscopy in the diagnosis and treatment of bariatric complications in the early postoperative period4 Changes of active and total ghrelin, GLP-1 and PYY following restrictive bariatric surgery and their impact on satiety: comparison of sleeve gastrectomy and adjustable gastric banding5 Prioritization and willingness to pay for bariatric surgery: the patient perspective6 Ventral hernia at the time of laparoscopic gastric bypass surgery: Should it be repaired?7 Linear stapled gastrojejunostomy with transverse handsewn enterotomy closure significantly reduces strictures for laparoscopic Roux-en-Y bypass8 Laparoscopic biliopancreatic diversion with duodenal switch as second stage for super super morbidly obese patients. Do all patients benefit?9 Sleeve gastrectomy in the super super morbidly obese (BMI > 60 kg/m2): a Canadian experience10 Laparoscopic gastric bypass for the treatment of refractory idiopathic gastroparesis: a report of 2 cases11 Duodeno-ileal switch as a primary bariatric and metabolic surgical option for the severely obese patient with comorbidities: review of a single-institution case series of duodeno-ileal intestinal bypass12 Management of large paraesophageal hernias in morbidly obese patients with laparoscopic sleeve gastrectomy: a case series13 Early results of the Ontario bariatric surgical program: using the bariatric registry14 Improving access to bariatric surgical care: Is universal health care the answer?15 Early and liberal postoperative exploration can reduce morbidity and mortality in patients undergoing bariatric surgery16 Withdrawn17 Identification and assessment of technical errors in laparoscopic Roux-en-Y gastric bypass18 A valid and reliable tool for assessment of surgical skill in laparoscopic Roux-en-Y gastric bypass19 Psychiatric predictors of presurgery drop-out following suitability assessment for bariatric surgery20 Predictors of outcomes following Roux-en-Y gastric bypass surgery at The Ottawa Hospital21 Prophylactic management of cholelithiasis in bariatric patients: Is routine cholecystectomy warranted?22 Early outcomes of Roux-en-Y gastric bypass in a publicly funded obesity program23 Similar incidence of gastrojejunal anastomotic stricture formation with hand-sewn and 21 mm circular stapler techniques during Roux-en-Y gastric bypass24 (CAGS Basic Science Award) Exogenous glucagon-like peptide-1 improves clinical, morphological and histological outcomes of intestinal adaptation in a distal-intestinal resection piglet model of short bowel syndrome25 (CAGS Clinical Research Award) Development and validation of a comprehensive curriculum to teach an advanced minimally invasive procedure: a randomized controlled trial26 Negative-pressure wound therapy (iVAC) on closed, high-risk incisions following abdominal wall reconstruction27 The impact of seed granting on research in the University of British Columbia Department of Surgery28 Quality of surgical care is inadequate for elderly patients29 Recurrence of inguinal hernia in general and hernia specialty hospitals in Ontario, Canada30 Oncostatin M receptor deficiency results in increased mortality in an intestinal ischemia reperfusion model in mice31 Laparoscopic repair of large paraesophageal hernias with anterior gastropexy: a multicentre trial32 Response to preoperative medical therapy predicts success of laparoscopic splenectomy for immune thrombocytopenic purpura33 Perioperative sepsis, but not hemorrhagic shock, promotes the development of cancer metastases in a murine model34 Measuring the impact of implementing an acute care surgery service on the management of acute biliary disease35 Patient flow and efficiency in an acute care surgery service36 The relationship between treatment factors and postoperative complications after radical surgery for rectal cancer37 Risk of ventral hernia after laparoscopic colon surgery38 Urinary metabolomics as a tool for early detection of Barrett’s and esophageal cancer39 Construct validity of individual and summary performance metrics associated with a computer-based laparo-scopic simulator40 Impact of a city-wide health system reorganization on emergency department visits in hospitals in surrounding communities41 Transcatheter aortic valve implantation for the nonoperative management of aortic stenosis: a cost-effectiveness analysis42 Breast cancer: racial differences in age of onset. A potential confounder in Canadian screening recommendations43 Risk taking in surgery: in and out of the comfort zone44 A tumour board in the office: Track those cancer patients!45 Increased patient BMI is not associated with advanced colon cancer stage or grade on presentation: a retrospective chart review46 Consensus statements regarding the multidisciplinary care of limb amputation patients in disasters or humanitarian emergencies. Report of the 2011 Humanitarian Action Summit Surgical Working Group on amputations following disasters or conflict47 Learning the CanMEDS role of professional: a pilot project of supervised discussion groups addressing the hidden curriculum48 Assessing the changing scope of training in Canadian general surgery programs: expected versus actual experience49 Predicting need for surgical management for massive gastrointestinal hemorrhage50 International health care experience: using CanMEDS to evaluate learning outcomes following a surgical mission in Mampong, Ghana51 The open abdomen: risk factors for mortality and rates of closure52 How surgeons think: an exploration of mental practice in surgical preparation53 The surgery wiki: a novel method for delivery of under-graduate surgical education54 Understanding surgical residents’ postoperative practices before implementing an enhanced recovery after surgery (ERAS) guideline at the University of Toronto55 From laparoscopic transabdominal to posterior retroperitoneal adrenalectomy: a paradigm shift in operative approach56 A retrospective audit of outcomes in patients over the age of 80 undergoing acute care abdominal surgery57 Canadian general surgery residents’ perspectives on work-hour regulations58 Timing of surgical intervention and its outcomes in acute appendicitis59 Preparing surgical trainees to deal with adverse events. An outline of learning issues60 Acute care surgical service: surgeon agreement at the time of handover61 Predicting discharge of elderly patients to prehospitalization residence following emergency general surgery62 Morbidity and mortality after emergency abdominal surgery in octo- and nonagenarians63 The impact of acute abdominal illness and urgent admission to hospital on the living situation of elderly patients64 A comparison of laparoscopic versus open subtotal gastrectomy for antral gastric adenocarcinoma: a North American perspective65 Minimally invasive excision of ectopic mediastinal parathyroid adenomas66 Perioperative outcomes of laparoscopic hernia repair in a tertiary care centre: a single institution’s experience67 Evaluation of a student-run, practical and didactic curriculum for preclerkship medical students68 Joseph Lister: Father of Modern Surgery69 Comparisons of melanoma sentinel lymph node biopsy prediction nomograms in a cohort of Canadian patients70 Local experience with myocutaneous flaps after extensive pelvic surgery71 The treatment of noncirrhotic splanchnic vein thrombosis: Is anticoagulation enough?72 Implementation of an acute care surgery service does not affect wait-times for elective cancer surgeries: an institutional experience73 Use of human collagen mesh for closure of a large abdominal wall defect, after colon cancer surgery, a case report74 The role of miR-200b in pulmonary hypoplasia associated with congenital diaphragmatic hernia75 Systematic review and meta-analysis of electrocautery versus scalpel for incising epidermis and dermis76 Accuracy of sentinel lymph node biopsy for early breast cancer in the community setting in St. John’s, New-foundland: results of a retrospective review77 Acute surgical outcomes in the 80 plus population78 The liberal use of platelets transfusions in the acute phase of trauma resuscitation: a systematic review79 Implementation of an acute care surgical on call program in a Canadian community hospital80 Short-term outcomes following paraesophageal hernia repair in the elderly patient81 First experience with single incision surgery: feasibility in the pediatric population and cost evaluation82 The impact of the establishment of an acute care surgery unit on the outcomes of appendectomies and cholecystectomies83 Description and preliminary evaluation of a low-cost simulator for training and evaluation of flexible endoscopic skills84 Tumour lysis syndrome in metastatic colon cancer: a case report85 Acute care surgery service model implementation study at a single institution86 Colonic disasters approached by emergent subtotal and total colectomy: lessons learned from 120 consecutive cases87 Acellular collagen matrix stent to protect bowel anastomoses88 Lessons we learned from preoperative MRI-guided wire localization of breast lesions: the University Health Network (UHN) experience89 Interim cost comparison for the use of platinum micro-coils in the operative localization of small peripheral lung nodules90 Routine barium esophagram has minimal impact on the postoperative management of patients undergoing esophagectomy for esophageal cancer91 Iron deficiency anemia is a common presenting issue with giant paraesophageal hernia and resolves following repair92 A randomized comparison of different ventilation strategies during thoracotomy and lung resection93 The Canadian Lung Volume Reduction Surgery study: an 8-year follow-up94 A comparison of minimally invasive versus open Ivor-Lewis esophagectomy95 A new paradigm in the follow-up after curative resection for lung cancer: minimal-dose CT scan allows for early detection of asymptomatic cancer activity96 Predictors of lymph node metastasis in early esophageal adenocarcinoma: Is endoscopic resection worth the risk?97 How well can thoracic surgery residents operate? Comparing resident and program director opinions98 The impact of extremes of age on short- and long-term outcomes following surgical resection of esophageal malignancy99 Epidermal growth factor receptor targeted gold nanoparticles for the enhanced radiation treatment of non–small cell lung cancer100 Laparoscopic Heller myotomy results in excellent outcomes in all subtypes of achalasia as defined by the Chicago classification101 Neoadjuvant chemoradiation versus surgery in managing esophageal cancer102 Quality of life postesophagectomy for cancer!103 The implementation, evolution and translocation of standardized clinical pathways can improve perioperative outcomes following surgical treatment of esophageal cancer104 A tissue-mimicking phantom for applications in thoracic surgical simulation105 Sublobar resection compared with lobectomy for early stage non–small cell lung cancer: a single institution study106 Not all reviews are equal: the quality of systematic reviews and meta-analyses in thoracic surgery107 Do postoperative complications affect health-related quality of life after video-assisted thoracoscopic lobectomy for patients with lung cancer? A cohort study108 Thoracoscopic plication for palliation of dyspnea secondary to unilateral diaphragmatic paralysis: A worthwhile venture?109 Thoracic surgery experience in Canadian general surgery residency programs110 Perioperative morbidity and pathologic response rates following neoadjuvant chemotherapy and chemoradiation for locally advanced esophageal carcinoma111 An enhanced recovery pathway reduces length of stay after esophagectomy112 Predictors of dysplastic and neoplastic progression of Barrett’s esophagus113 Recurrent esophageal cancer complicated by tracheoesophageal fistula: management by means of palliative airway stenting114 Pancreaticopleural fistula-induced empyema thoracis: principles and results of surgical management115 Prognostic factors of early postoperative mortality following right extended hepatectomy116 Optimizing steatotic livers for transplantation using a cell-penetrating peptide CPP-fused heme oxygenase117 Video outlining the technical steps for a robot-assisted laparoscopic pancreaticoduodenectomy118 Establishment of a collaborative group to conduct innovative clinical trials in Canada119 Hepatic resection for metastatic malignant melanoma: a systematic review and meta-analysis120 Acellular normothermic ex vivo liver perfusion for donor liver preservation121 Pancreatic cancer and predictors of survival: comparing the CA 19–9/bilirubin ratio with the McGill Brisbane Scoring System122 Staged liver resections for bilobar hepatic colorectal metastases: a single centre experience123 Economic model of observation versus immediate resection of hepatic adenomas124 Resection of colorectal liver metastasis in the elderly125 Acceptable long-term survival in patients undergoing liver resection for metastases from noncolorectal, non-neuroendocrine, nonsarcoma malignancies126 Patient and clinicopathological features and prognosis of CK19+ hepatocellular carcinomas: a case–control study127 The management of blunt hepatic trauma in the age of angioembolization: a single centre experience128 Liver resections for noncolorectal and non-neuroendocrine metastases: an evaluation of oncologic outcomes129 Developing an evidence-based clinical pathway for patients undergoing pancreaticoduodenectomy130 Hepatitis C infection and hepatocellular carcinoma in liver transplant: a 20 year experience131 The effect of medication on the risk of post-ERCP pancreatitis132 Temporal trends in the use of diagnostic imaging for patients with hepato-pancreato-biliary (HPB) conditions: How much ionizing radiation are we really using?196 A phase II study of aggressive metastasectomy for intra-and extrahepatic metastases from colorectal cancer133 Why do women choose mastectomy for breast cancer treatment? A conceptual framework for understanding surgical decision-making in early-stage breast cancer134 Synoptic operative reporting: documentation of quality of care data for rectal cancer surgery135 Learning curve analysis for cytoreductive surgery: a useful application of the cumulative sum (CUSUM) method136 Pancreatic cancer is strongly associated with a unique urinary metabolomic signature137 Concurrent neoadjuvant chemo/radiation in locally advanced breast cancer138 Impact of positron emission tomography on clinical staging of newly diagnosed rectal cancer: a specialized single centre retrospective study139 An evaluation of intraoperative Faxitron microradiography versus conventional specimen radiography for the excision of nonpalpable breast lesions140 Comparison of breast cancer treatment wait-times in the Southern Interior of British Columbia in 2006 and 2010141 Factors affecting lymph nodes harvest in colorectal carcinoma142 Laparoscopic adrenalectomy for metastases143 You have a message! Social networking as a motivator for fundamentals of laparoscopic surgery (FLS) training144 The evaluation and validation of a rapid diagnostic and support clinic for women assessment for breast cancer145 Oncoplastic breast surgery: oncologic benefits and limitations146 A qualitative study on rectal cancer patients’ preferences for location of surgical care147 The effect of surgery on local recurrence in young women with breast cancer148 Elevated IL-6 and IL-8 levels in tumour microenvironment is not associated with increased serum levels in humans with Pseudomyxoma peritonei and peritoneal mesothelioma149 Conversion from laparoscopic to open approach during gastrectomy: a population-based analysis150 A scoping review of surgical process improvement tools (SPITs) in cancer surgery151 Splenectomy during gastric cancer surgery: a population-based study152 Defining the polo-like kinase 4 (Plk4) interactome in cancer cell protrusions153 Neoadjuvant imatinib mesylate for locally advanced gastrointestinal stromal tumours154 Implementing results from ACOSOG Z0011: Practice-changing or practice-affirming?155 Should lymph node retrieval be a surgical quality indicator in colon cancer?156 Long-term outcomes following resection of retroperitoneal recurrence of colorectal cancer157 Clinical research in surgical oncology: an analysis of clinicaltrials.gov158 Radiation therapy after breast conserving surgery: When are we missing the mark?159 The accuracy of endorectal ultrasound in staging rectal lesions in patients undergoing transanal endoscopic microsurgery160 Quality improvement in gastrointestinal cancer surgery: expert panel recommendations for priority research areas161 Factors influencing the quality of local management of ductal carcinoma in situ: a cohort study162 Papillary thyroid microcarcinoma: Does size matter?163 Hyperthermic isolated limb perfusion for extremity soft tissue sarcomas: systematic review of clinical efficacy and quality assessment of reported trials164 Adherence to antiestrogen therapy in seniors with breast cancer: How well are we doing?165 Parathyroid carcinoma: Challenging the surgical dogma?166 A qualitative assessment of the journey to delayed breast reconstruction195 The role of yoga therapy in breast cancer patients167 Outcomes reported in comparative studies of surgical interventions168 Enhanced recovery pathways decrease length of stay following colorectal surgery, but how quickly do patients actually recover?169 The impact of complications on bed utilization after elective colorectal resection170 Impact of trimodal prehabilitation program on functional recovery after colorectal cancer surgery: a pilot study171 Complex fistula-in-ano: Should the plug be abandoned in favour of the LIFT or BioLIFT?172 Prognostic utility of cyclooxygenase-2 expression by colon and rectal cancer173 Laparoscopic right hemicolectomy with complete mesocolic excision provides acceptable perioperative outcomes but is complex and time-consuming: analysis of learning curves for a novice minimally invasive surgeon174 Intraoperative quality assessment following double stapled circular colorectal anastomosis175 Improving patient outcomes through quality assessment of rectal cancer care176 Are physicians willing to accept a decrease in treatment effectiveness for improved functional outcomes for low rectal cancer?177 Turnbull-Cutait delayed coloanal anastomosis for the treatment of distal rectal cancer: a prospective cohort study178 Preoperative high-dose rate brachytherapy in preparation for sphincter preservation surgery for patients with advanced cancer of the lower rectum179 Impact of an enhanced recovery program on short-term outcomes after scheduled laparoscopic colon resection180 The clinical results of the Turnbull-Cutait delayed coloanal anastomosis: a systematic review181 Is a vertical rectus abdominus flap (VRAM) necessary? An analysis of perineal wound complications182 Fistula plug versus endorectal anal advancement flap for the treatment of high transsphincteric cryptoglandular anal fistulas: a systematic review and meta-analysis183 Maternal and neonatal outcomes following colorectal cancer surgery184 Transanal drainage to treat anastomotic leaks after low anterior resection for rectal cancer: a valuable option185 Trends in colon cancer in Ontario: 2002–2009186 Validation of electronically derived short-term outcomes in colorectal surgery187 A population-based assessment of transanal and endoscopic resection for adenocarcinoma of the rectum188 Laparoscopic colorectal surgery in the emergency setting: trends in the province of Ontario from 2002 to 2009189 Prevention of perineal hernia after laparoscopic and robotic abdominoperineal resection: review with case series of internal hernia through pelvic mesh which was placed in attempt to prevent perineal hernia190 Effect of rectal cancer treatments on quality of life191 The use of antibacterial sutures as an adjunctive preventative strategy for surgical site infection in Canada: an economic analysis192 Impact of socioeconomic status on colorectal cancer screening and stage at presentation: preliminary results of a population-based study from an urban Canadian centre193 Initial perioperative results of the first transanal endoscopic microsurgery (TEM) program in the province of Quebec194 Use of negative pressure wound therapy decreases perineal wound infections following abdominal perineal resection. Can J Surg 2012; 55:S63-S135. [DOI: 10.1503/cjs.016712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Nicholas J, Morgan-Followell B, Pitt D, Racke MK, Boster A. New and Emerging Disease-Modifying Therapies for Relapsing-Remitting Multiple Sclerosis: What is New and What is to Come. J Cent Nerv Syst Dis 2012; 4:81-103. [PMID: 23650470 PMCID: PMC3619700 DOI: 10.4137/jcnsd.s6692] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The therapeutic landscape for multiple sclerosis (MS) is rapidly changing. Currently, there are eight FDA approved disease modifying therapies for MS including: IFN-β-1a (Avonex, Rebif), IFN-β-1b (Betaseron, Extavia), glatiramer acetate (Copaxone), mitoxantrone (Novantrone), natalizumab (Tysabri), and fingolimod (Gilenya). This review will highlight the experience to date and key clinical trials of the newest FDA approved agents, natalizumab and fingolimod. It will also review available efficacy and safety data on several promising therapies under active investigation including four monoclonal antibody therapies: alemtuzumab, daclizumab, ocrelizumab and ofatumumab and three oral agents: BG12, laquinimod, and teriflunomide. To conclude, we will discuss where each of these new therapies may best fit into treatment algorithms.
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Affiliation(s)
- J Nicholas
- The Ohio State University Medical Center, Department of Neurology, Division of Neuro-immunology, Columbus, Ohio
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Bluestein KT, Pitt D, Sammet S, Zachariah CR, Nagaraj U, Knopp MV, Schmalbrock P. Detecting cortical lesions in multiple sclerosis at 7 T using white matter signal attenuation. Magn Reson Imaging 2012; 30:907-15. [PMID: 22578928 DOI: 10.1016/j.mri.2012.03.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2011] [Revised: 03/02/2012] [Accepted: 03/03/2012] [Indexed: 12/20/2022]
Abstract
Cortical lesions have recently been a focus of multiple sclerosis (MS) MR research. In this study, we present a white matter signal attenuating sequence optimized for cortical lesion detection at 7 T. The feasibility of white matter attenuation (WHAT) for cortical lesion detection was determined by scanning eight patients (four relapsing/remitting MS, four secondary progressive MS) at 7 T. WHAT showed excellent gray matter-white matter contrast, and cortical lesions were hyperintense to the surrounding cortical gray matter, The sequence was then optimized for cortical lesion detection by determining the set of sequence parameters that produced the best gray matter-cortical lesion contrast in a 10-min scan. Despite the B1 inhomogeneities common at ultra-high field strengths, WHAT with an adiabatic inversion pulse showed good cortical lesion detection and would be a valuable component of clinical MS imaging protocols.
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Affiliation(s)
- Katharine T Bluestein
- Department of Radiology, Wright Center of Innovation, The Ohio State University, Columbus, OH, USA
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Boster A, Bartoszek MP, O'Connell C, Pitt D, Racke M. Efficacy, safety, and cost-effectiveness of glatiramer acetate in the treatment of relapsing-remitting multiple sclerosis. Ther Adv Neurol Disord 2011; 4:319-32. [PMID: 22010043 DOI: 10.1177/1756285611422108] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The current Multiple Sclerosis (MS) therapeutic landscape is rapidly growing. Glatiramer acetate (GA) remains unique given its non-immunosuppressive mechanism of action as well as its superior long-term safety and sustained efficacy data. In this review, we discuss proposed mechanisms of action of GA. Then we review efficacy data for reduction of relapses and slowing disability as well as long term safety data. Finally we discuss possible future directions of this unique polymer in the treatment of MS.
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Affiliation(s)
- Aaron Boster
- Multiple Sclerosis Center, Department of Neurology The Ohio State University Medical Center 395 West 12th Avenue, 7th floor Columbus, OH 43210, USA
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Kung N, Mackenzie S, Pitt D, Robinson B, Perkins NR. Significant features of the epidemiology of equine influenza in Queensland, Australia, 2007. Aust Vet J 2011; 89 Suppl 1:78-85. [PMID: 21711297 DOI: 10.1111/j.1751-0813.2011.00781.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
An outbreak of equine influenza (EI) caused by influenza A H3N8 subtype virus occurred in the Australian states of Queensland and New South Wales in August 2007. Infection in the Australian horse population was associated with the introduction of infection by horses from overseas. The first case of EI in Queensland was detected on 25 August 2007 at an equestrian sporting event. Infection subsequently spread locally and to other clusters through horse movements prior to the implementation of an official standstill. There were five main clusters of infected properties during this outbreak and several outliers, which were investigated to find the potential mechanism of disease spread. To contain the outbreak, Queensland was divided into infection status zones, with different movement controls applied to each zone. Vaccination was implemented strategically in infected areas and within horse subpopulations. Control and eventual eradication of EI from Queensland was achieved through a combination of quarantine, biosecurity measures, movement control, rapid diagnostic testing and vaccination.
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Affiliation(s)
- N Kung
- Biosecurity Queensland, Department of Employment, Economic Development and Innovation, City East, Queensland 4003, Australia.
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Bluestein KT, Pitt D, Knopp MV, Schmalbrock P. T1 and proton density at 7 T in patients with multiple sclerosis: an initial study. Magn Reson Imaging 2011; 30:19-25. [PMID: 21937183 DOI: 10.1016/j.mri.2011.07.018] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2011] [Revised: 06/14/2011] [Accepted: 07/27/2011] [Indexed: 01/21/2023]
Abstract
Magnetic resonance imaging of cortical lesions due to multiple sclerosis (MS) has been hampered by the lesions' small size and low contrast to adjacent, normal-appearing tissue. Knowing cortical lesion T1 and proton density (PD) would be highly beneficial for the process of developing and optimizing dedicated magnetic resonance (MR) sequences through computer modeling of MR tissue responses. Eight patients and seven healthy control subjects were scanned at 7 T using a series of inversion recovery turbo field echo scans with varying inversion times. Regions of interest were drawn in white matter, gray matter, cortical lesions, white matter lesions and cerebrospinal fluid. White matter and gray matter T1s were significantly higher in MS patients than in controls. Cortical and white matter lesion T1 and PD are also presented for the first time. The advantages of ultrahigh field MR imaging will be important for future investigations in MS research and sequence optimization for the detection of cortical lesions.
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Affiliation(s)
- Katharine T Bluestein
- Department of Radiology, Wright Center of Innovation, The Ohio State University, Columbus, OH 43210, USA
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